Mathematical Modeling And Computational Intelligence In Engineering Applications

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Mathematical Modeling and Computational Intelligence in Engineering Applications

Author : Antônio José da Silva Neto
Publisher : Springer
ISBN 13 : 331938869X
Total Pages : 179 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Mathematical Modeling and Computational Intelligence in Engineering Applications by : Antônio José da Silva Neto

Download or read book Mathematical Modeling and Computational Intelligence in Engineering Applications written by Antônio José da Silva Neto and published by Springer. This book was released on 2016-08-12 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications

Author : T. Ananth Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119785502
Total Pages : 370 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications by : T. Ananth Kumar

Download or read book Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications written by T. Ananth Kumar and published by John Wiley & Sons. This book was released on 2021-08-16 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: SIMULATIONS AND ANALYSIS of Mathematical Methods Written and edited by a group of international experts in the field, this exciting new volume covers the state of the art of real-time applications of computer science using mathematics. This breakthrough edited volume highlights the security, privacy, artificial intelligence, and practical approaches needed by engineers and scientists in all fields of science and technology. It highlights the current research, which is intended to advance not only mathematics but all areas of science, research, and development, and where these disciplines intersect. As the book is focused on emerging concepts in machine learning and artificial intelligence algorithmic approaches and soft computing techniques, it is an invaluable tool for researchers, academicians, data scientists, and technology developers. The newest and most comprehensive volume in the area of mathematical methods for use in real-time engineering, this groundbreaking new work is a must-have for any engineer or scientist’s library. Also useful as a textbook for the student, it is a valuable contribution to the advancement of the science, both a working handbook for the new hire or student, and a reference for the veteran engineer.

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

Author : Manoj Sahni
Publisher : Springer Nature
ISBN 13 : 9811659524
Total Pages : 496 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy by : Manoj Sahni

Download or read book Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy written by Manoj Sahni and published by Springer Nature. This book was released on 2021-12-11 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.

Research Directions in Computational Mechanics

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309046483
Total Pages : 145 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Research Directions in Computational Mechanics by : National Research Council

Download or read book Research Directions in Computational Mechanics written by National Research Council and published by National Academies Press. This book was released on 1991-02-01 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational mechanics is a scientific discipline that marries physics, computers, and mathematics to emulate natural physical phenomena. It is a technology that allows scientists to study and predict the performance of various productsâ€"important for research and development in the industrialized world. This book describes current trends and future research directions in computational mechanics in areas where gaps exist in current knowledge and where major advances are crucial to continued technological developments in the United States.

Computational Intelligence in Emerging Technologies for Engineering Applications

Author : Orestes Llanes Santiago
Publisher : Springer Nature
ISBN 13 : 3030344096
Total Pages : 301 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computational Intelligence in Emerging Technologies for Engineering Applications by : Orestes Llanes Santiago

Download or read book Computational Intelligence in Emerging Technologies for Engineering Applications written by Orestes Llanes Santiago and published by Springer Nature. This book was released on 2020-02-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

Engineering Mathematics and Artificial Intelligence

Author : Herb Kunze
Publisher : CRC Press
ISBN 13 : 1000907872
Total Pages : 530 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Engineering Mathematics and Artificial Intelligence by : Herb Kunze

Download or read book Engineering Mathematics and Artificial Intelligence written by Herb Kunze and published by CRC Press. This book was released on 2023-07-26 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques

Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development

Author : Madhu Jain
Publisher : CRC Press
ISBN 13 : 1000885607
Total Pages : 410 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development by : Madhu Jain

Download or read book Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development written by Madhu Jain and published by CRC Press. This book was released on 2023-06-07 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics. The book: Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.

Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare

Author : Pankaj Srivastava
Publisher : Springer Nature
ISBN 13 : 9811638071
Total Pages : 358 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare by : Pankaj Srivastava

Download or read book Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare written by Pankaj Srivastava and published by Springer Nature. This book was released on 2021-10-19 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the 17th FAI International Conference on Engineering, Mathematical and Computational Intelligence (ICEMCI 2019), held at Jabalpur Engineering College, India, from 21–23 December 2019. This book discusses mathematical, computational intelligence and engineering approaches for tourism, agriculture and health care. It is a unique combination of a wide spectrum of topics, such as tourism destination ranking, medical diagnosis-based intelligent systems, drivers for hotel objectives, irrigation systems and more, which are discussed by using fuzzy, statistical and neural network tools. This book will be valuable to faculty members, postgraduate students, research scholars as well as readers from the industrial sector.

Applied Mathematics and Computational Intelligence

Author : Anna M. Gil-Lafuente
Publisher : Springer
ISBN 13 : 331975792X
Total Pages : 428 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Applied Mathematics and Computational Intelligence by : Anna M. Gil-Lafuente

Download or read book Applied Mathematics and Computational Intelligence written by Anna M. Gil-Lafuente and published by Springer. This book was released on 2018-03-06 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015. The event was co-organized by the University of Barcelona (Spain), the Spanish Royal Academy of Economic and Financial Sciences (Spain) and the Forum for Interdisciplinary Mathematics (India). This instalment of the conference was presented with the title “Applied Mathematics and Computational Intelligence” and particularly focused on the use of Mathematics and Computational Intelligence techniques in a diverse range of scientific disciplines, as well as their applications in real-world problems. The book presents thirty peer-reviewed research papers, organised into four topical sections: on Mathematical Foundations; Computational Intelligence and Optimization Techniques; Modelling and Simulation Techniques; and Applications in Business and Engineering. This book will be of great interest to anyone working in the area of applied mathematics and computational intelligence and will be especially useful for scientists and graduate students pursuing research in these fields.

Computational and Mathematical Modelling

Author : R. Nadarajan
Publisher :
ISBN 13 : 9788184871647
Total Pages : 0 pages
Book Rating : 4.8/5 (716 download)

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Book Synopsis Computational and Mathematical Modelling by : R. Nadarajan

Download or read book Computational and Mathematical Modelling written by R. Nadarajan and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and Computational Models developed are innovative outcomes of interdisciplinary research in the field of Engineering, Computer Science and Mathematics. Modeling is an important aspect of scientific research and physicists, engineers, computer scientists and economists use Mathematical Models most extensively. This volume presents state-of-the-art discussions on solutions to various problems spanning the disciplines of Queueing Models, Inventory Models, Fuzzy Model, Optimization Techniques, Manpower systems, Graph Theory and Applications, Theoretical Computer Science, Computational Intelligence and General Mathematical Modeling.

New Paradigms in Computational Modeling and Its Applications

Author : Snehashish Chakraverty
Publisher : Academic Press
ISBN 13 : 0128221682
Total Pages : 280 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis New Paradigms in Computational Modeling and Its Applications by : Snehashish Chakraverty

Download or read book New Paradigms in Computational Modeling and Its Applications written by Snehashish Chakraverty and published by Academic Press. This book was released on 2021-01-09 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields. New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics. The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks. Presents a self-contained and up to date review of modelling real life scientific and engineering application problems Introduces new concepts of various computing techniques to handle different engineering and science problems Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms

Mathematical Modelling and Computational Intelligence Techniques

Author : P. Balasubramaniam
Publisher : Springer Nature
ISBN 13 : 9811660182
Total Pages : 349 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Mathematical Modelling and Computational Intelligence Techniques by : P. Balasubramaniam

Download or read book Mathematical Modelling and Computational Intelligence Techniques written by P. Balasubramaniam and published by Springer Nature. This book was released on 2022-01-13 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects papers presented at the International Conference on Mathematical Modelling and Computational Intelligence Techniques (ICMMCIT) 2021, held at the Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, from 10–12 February 2021. Significant contributions from renowned researchers from fields of applied analysis, mathematical modelling and computing techniques have been received for this conference. Chapters emphasize on the research of computational nature focusing on new algorithms, their analysis and numerical results, as well as applications in physical, biological, social, and behavioural sciences. The accepted papers are organized in topical sections as mathematical modelling, image processing, control theory, graphs and networks, and inventory control.

Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering

Author : Gustavo Mendes Platt
Publisher : Springer
ISBN 13 : 331996433X
Total Pages : 284 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering by : Gustavo Mendes Platt

Download or read book Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering written by Gustavo Mendes Platt and published by Springer. This book was released on 2018-09-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion – state-of-the-art approaches for the application of computational intelligence to engineering problems. The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from four countries – some of which are the original proponents of the methods presented – and 18 research centers around the globe.

Applied Mathematics, Modeling and Computer Simulation

Author : C.-H. Chen
Publisher : IOS Press
ISBN 13 : 1643684590
Total Pages : 1266 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Applied Mathematics, Modeling and Computer Simulation by : C.-H. Chen

Download or read book Applied Mathematics, Modeling and Computer Simulation written by C.-H. Chen and published by IOS Press. This book was released on 2024-01-19 with total page 1266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied mathematics, modelling, and computer simulation are central to many aspects of engineering and computer science, and continue to be of intrinsic importance to the development of modern technologies. This book presents the proceedings of AMMCS 2023, the 3rd International Conference on Applied Mathematics, Modeling and Computer Simulation, held on 12 and 13 August 2023 in Wuhan, China. The conference provided an ideal opportunity for scholars and researchers to communicate important recent developments in their areas of specialization to their colleagues, and to scientists in related disciplines. More than 250 submissions were received for the conference, of which 133 were selected for presentation at the conference and inclusion here after a thorough peer-review process. These range from the theoretical and conceptual to strongly pragmatic papers addressing industrial best practice, and cover topics such as mathematical modeling and application; engineering applications and scientific computations; and the simulation of intelligent systems. The book explores practical experiences and enlightening ideas, and will be of interest to researchers, practitioners, and to all those working in the fields of applied mathematics, modeling and computer simulation.

Neural Networks, Machine Learning, and Image Processing

Author : Manoj Sahni
Publisher : CRC Press
ISBN 13 : 1000814297
Total Pages : 221 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Neural Networks, Machine Learning, and Image Processing by : Manoj Sahni

Download or read book Neural Networks, Machine Learning, and Image Processing written by Manoj Sahni and published by CRC Press. This book was released on 2022-12-15 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: SECTION I Mathematical Modeling and Neural Network’ Mathematical Essence Chapter 1 Mathematical Modeling on Thermoregulation in Sarcopenia 1.1. Introduction 1.2. Discretization 1.3. Modeling and Simulation of Basal Metabolic Rate and Skin Layers Thickness 1.4. Mathematical Model and Boundary Conditions 1.5. Solution of the Model 1.6. Numerical Results and discussion 1.7. Conclusion References Chapter 2 Multi-objective University Course Scheduling for Uncertainly Generated Courses 2.1 Introduction 2.2 Literature review 2.3 Formulation of problem 2.4 Methodology 2.5 Numerical Example 2.6 Result and Discussion 2.7 Conclusion References Chapter 3 MChCNN : A Deep Learning Approach to Detect Text based Hate Speech 3.1. Introduction Background and Driving Forces 3.2. Related Work 3.3. Experiment and Results 3.4. Conclusion References Chapter 4 PSO Based PFC Cuk Converter fed BLDC Motor Drive for Automotive Applications 4.1. Introduction 4.2. Operation of Cuk converter fed BLDC motor drive system 4.3. Controller Operation 4.4. Result and Discussion 4.5. Conclusion References Chapter 5 Optimize Feature Selection for Condition based monitoring of Cylindrical bearing using Wavelet transform and ANN 5.1. Introduction 5.2. Methodology 5.3. Data Preparation 5.4. Result and Discussion 5.5. Conclusion References Chapter 6 SafeShop - An integrated system for safe pickup of items during COVID-19 6.1. Introduction 6.2. Literature Survey 6.3. Methodology 6.4. Result and Discussion 6.5. Conclusion References Chapter 7 Solution of First Order Fuzzy Differential Equation using Numerical Method 7.1. Introduction 7.2. Preliminaries 7.3. Methodology 7.4. Illustration 7.5. Conclusion References SECTION II Simulations in Machine Learning and Image Processing Chapter 8 Multi-layer Encryption Algorithm for Data Integrity in Cloud Computing 8.1. Introduction 8.2. Related works 8.3. Algorithm description 8.4. Simulation and performance analysis 8.5. Conclusion and Future Work References Chapter 9 Anomaly detection using class of supervised and unsupervised learning algorithms 9. 1. Introduction 9.2. Adaptive threshold and regression techniques for anomaly detection 9.3. Unsupervised Learning techniques for anomaly detection 9.4. Description of the dataset 9.5 Results and Discussions 9.6. Conclusion References Chapter 10 Improving Support Vector Machine accuracy with Shogun’s multiple kernel learning 10. 1. Introduction 10. 2. Support Vector Machine Statistics 10.3. Experiment and Result 10.4 Conclusion References Chapter 11 An Introduction to Parallelisable String-Based SP-Languages 11.1. Introduction 11.2. Parallelisable string-based SP-languages 11.3. Parallel Regular Expression 11.4. Equivalence of Parallel Regular Expression and Branching Automaton 11.5. Parallelisable String-Based SP-Grammar 11.6. Parallelisable String-Based SP-Parallel Grammar 11.7. Conclusion 11.8. Applications 11.9. Future Scope References Chapter 12 Detection of Disease using Machine Learning 12.1. Introduction 12.2. Techniques Applied 12.3. GENERAL ARCHITECTURE OF AI/ML 12.4. EXPERIMENTAL OUTCOMES 12.5. Conclusion References Chapter 13 Driver Drowsiness Detection Using Eye Tracing System 13.1. Introduction 13.2. Literature Review 13.3. Research Method 13.4. Observations and Results 13.5. Conclusion References Chapter 14 An Efficient Image Encryption Scheme Combining Rubik Cube Principle with Masking 14.1 Introduction 14.2 Preliminary Section 14.3 Proposed Work 14. 4 Experimental Setup and Simulation Analysis 14.5 Conclusion References

Computational Intelligence Applications in Modeling and Control

Author : Ahmad Taher Azar
Publisher : Springer
ISBN 13 : 3319110179
Total Pages : 430 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Computational Intelligence Applications in Modeling and Control by : Ahmad Taher Azar

Download or read book Computational Intelligence Applications in Modeling and Control written by Ahmad Taher Azar and published by Springer. This book was released on 2014-12-26 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations. This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications. This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

Author : Manoj Sahni
Publisher : Springer
ISBN 13 : 9789811599521
Total Pages : 560 pages
Book Rating : 4.5/5 (995 download)

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Book Synopsis Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy by : Manoj Sahni

Download or read book Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy written by Manoj Sahni and published by Springer. This book was released on 2021-02-28 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy,” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics, Institution of Engineers (IEI) – Gujarat and Computer Society of India (CSI) – Ahmedabad. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.