Applied Soft Computing

Download Applied Soft Computing full books in PDF, epub, and Kindle. Read online Applied Soft Computing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Applied Soft Computing

Author : Samarjeet Borah
Publisher : CRC Press
ISBN 13 : 1000406636
Total Pages : 286 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Applied Soft Computing by : Samarjeet Borah

Download or read book Applied Soft Computing written by Samarjeet Borah and published by CRC Press. This book was released on 2022-02-03 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

Applied Soft Computing and Embedded System Applications in Solar Energy

Author : Rupendra Kumar Pachauri
Publisher : CRC Press
ISBN 13 : 1000391698
Total Pages : 255 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Applied Soft Computing and Embedded System Applications in Solar Energy by : Rupendra Kumar Pachauri

Applied Soft Computing Techniques for Renewable Energy

Author : Amit Kumar Thakur
Publisher : Nova Science Publishers
ISBN 13 : 9781536181807
Total Pages : 278 pages
Book Rating : 4.1/5 (818 download)

DOWNLOAD NOW!

Book Synopsis Applied Soft Computing Techniques for Renewable Energy by : Amit Kumar Thakur

Download or read book Applied Soft Computing Techniques for Renewable Energy written by Amit Kumar Thakur and published by Nova Science Publishers. This book was released on 2020 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a better understanding of Fuzzy set theory, Fuzzy logic and Neural Networks and various other techniques seem very well suited for modeling and controlling a real system. Energy is of major importance to civilization, because it is driving force which binds human race. The estimation of energy in the form of renewable and sustainable is one of the important aspects to understand the how resources are harnessed and to predict what might happen under various possible future conditions. Using available modelling techniques to generate the best algorithms, the objective is to determine the best solution in terms of comparing the performances of the solutions through different parameters for a specific case. Consumption of Fossil fuels at a rapid pace has generated an alarming situation and with the subsequent increase in the number of vehicle the pollution level has reached well beyond human's control. This is frightening enough to observe the fact that the pollution level has surpassed all records and the need of the hour is to find an alternate fuel which can really be of great assistance in reducing the exhaust emission and augment the performance parameters of engine. Major researches are carried out on various engines to draw closer towards a realistic solution. Experiments performed on various engines are considered to be time consuming and the expenses met to perform these experiments are too costly, so the need of soft computing techniques involved in this area. Soft computing can be better described as the process to find the solution to an inexact problem. Soft computing has showed lot of potential in giving the researchers the exact solution may be in case of validating or predicting the performance and emission parameters. Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference system (ANFIS), Fuzzy Expert System (FES), Response Surface Methodology (RSM) and Support Vector Machine (SVM) are the various soft computing techniques widely used. This book focuses on to carry out the comprehensive review and various other experimental works of various researchers who have carried out the work on these various soft computing techniques on various engines with various alternative fuels On the basis of modelling techniques, time is saved to a great extent and the capital investment involved is comparably very low. Various modelling technniques are being readily used to predict the performance parameters for various engines and modelling techniques have become the readily available tool to compare and validate the experimental work being carried out by researchers to get accurate matching with the experimental data.The benefit of this issue will be at large in connecting with varieties of work done in the field of Biomass which includes wood and wood waste, municipal solid waste. Landfill gas and biogas. Ethanol, Biodiesel, Hydropower, Geothermal, Wind, Solar.Thus soft computing techniques are fast and reliable hence, they can be a substitute for conventional experiments.

Applied Soft Computing Technologies: The Challenge of Complexity

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 3540316620
Total Pages : 838 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Applied Soft Computing Technologies: The Challenge of Complexity by : Ajith Abraham

Download or read book Applied Soft Computing Technologies: The Challenge of Complexity written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2006-08-11 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications, held on the World Wide Web in 2004. It includes lectures, original papers and tutorials presented during the conference. The book brings together outstanding research and developments in soft computing, including evolutionary computation, fuzzy logic, neural networks, and their fusion, and its applications in science and technology.

Applied Computational Intelligence and Soft Computing in Engineering

Author : Khalid, Saifullah
Publisher : IGI Global
ISBN 13 : 1522531300
Total Pages : 340 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Applied Computational Intelligence and Soft Computing in Engineering by : Khalid, Saifullah

Download or read book Applied Computational Intelligence and Soft Computing in Engineering written by Khalid, Saifullah and published by IGI Global. This book was released on 2017-09-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.

Soft Computing in Case Based Reasoning

Author : Sankar Kumar Pal
Publisher : Springer Science & Business Media
ISBN 13 : 1447106873
Total Pages : 380 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing in Case Based Reasoning by : Sankar Kumar Pal

Download or read book Soft Computing in Case Based Reasoning written by Sankar Kumar Pal and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.

Applied Soft Computing

Author : Samarjeet Borah
Publisher : CRC Press
ISBN 13 : 1000406652
Total Pages : 281 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Applied Soft Computing by : Samarjeet Borah

Download or read book Applied Soft Computing written by Samarjeet Borah and published by CRC Press. This book was released on 2022-02-03 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

Applied Soft Computing and Communication Networks

Author : Sabu M. Thampi
Publisher : Springer Nature
ISBN 13 : 9813361735
Total Pages : 340 pages
Book Rating : 4.8/5 (133 download)

DOWNLOAD NOW!

Book Synopsis Applied Soft Computing and Communication Networks by : Sabu M. Thampi

Download or read book Applied Soft Computing and Communication Networks written by Sabu M. Thampi and published by Springer Nature. This book was released on 2021-07-01 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes thoroughly refereed post-conference proceedings of the International Applied Soft Computing and Communication Networks (ACN 2020) held in VIT, Chennai, India, during October 14–17, 2020. The research papers presented were carefully reviewed and selected from several initial submissions. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.

Applied Soft Computing and Communication Networks

Author : Sabu M. Thampi
Publisher : Springer Nature
ISBN 13 : 9811538522
Total Pages : 268 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Applied Soft Computing and Communication Networks by : Sabu M. Thampi

Download or read book Applied Soft Computing and Communication Networks written by Sabu M. Thampi and published by Springer Nature. This book was released on 2020-04-30 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN 2019) held in Trivandrum, Kerala, India during December 18 – 21, 2019. The papers are organized in topical sections on real time and multimedia communications, security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, surveillance networks and visual intelligence, and emerging topics. The book is a reference for researchers and scientists engaged in various fields of intelligent systems.

Applied Soft Computing and Embedded System Applications in Solar Energy

Author : Rupendra Kumar Pachauri
Publisher : CRC Press
ISBN 13 : 1000391736
Total Pages : 258 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Applied Soft Computing and Embedded System Applications in Solar Energy by : Rupendra Kumar Pachauri

Download or read book Applied Soft Computing and Embedded System Applications in Solar Energy written by Rupendra Kumar Pachauri and published by CRC Press. This book was released on 2021-05-27 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects. Examines the integration of hardware with stand-alone PV panels and real-time monitoring of factors affecting the efficiency of the PV panels Offers real-time implementation of soft computing and embedded system in the area of solar energy Discusses how soft computing plays a huge role in the prediction of efficiency of stand-alone and grid-connected solar PV systems Discusses how embedded system applications with smart monitoring can control and enhance the efficiency of stand-alone and grid-connected solar PV systems Explores swarm intelligence techniques for solar PV parameter estimation Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India. Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India. Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India). Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India. Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Soft Computing and Industry

Author : Rajkumar Roy
Publisher : Springer Science & Business Media
ISBN 13 : 1447101235
Total Pages : 862 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing and Industry by : Rajkumar Roy

Download or read book Soft Computing and Industry written by Rajkumar Roy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. Soft Computing in Industry contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on: keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education; intelligent control; classification, clustering and optimization; image and signal processing; agents, multimedia and Internet; theoretical advances; prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.

Soft Computing Techniques in Engineering Applications

Author : Srikanta Patnaik
Publisher : Springer
ISBN 13 : 3319046934
Total Pages : 206 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing Techniques in Engineering Applications by : Srikanta Patnaik

Download or read book Soft Computing Techniques in Engineering Applications written by Srikanta Patnaik and published by Springer. This book was released on 2014-02-22 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.

Soft Computing Applications

Author : Valentina Emilia Balas
Publisher : Springer Science & Business Media
ISBN 13 : 3642339417
Total Pages : 714 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing Applications by : Valentina Emilia Balas

Download or read book Soft Computing Applications written by Valentina Emilia Balas and published by Springer Science & Business Media. This book was released on 2012-10-31 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of the 5thInternational Workshop on Soft Computing Applications (SOFA 2012). The book covers a broad spectrum of soft computing techniques, theoretical and practical applications employing knowledge and intelligence to find solutions for world industrial, economic and medical problems. The combination of such intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains. The conference papers included in these proceedings, published post conference, were grouped into the following area of research: · Soft Computing and Fusion Algorithms in Biometrics, · Fuzzy Theory, Control andApplications, · Modelling and Control Applications, · Steps towards Intelligent Circuits, · Knowledge-Based Technologies for Web Applications, Cloud Computing and Security Algorithms, · Computational Intelligence for Biomedical Applications, · Neural Networks and Applications, · Intelligent Systems for Image Processing, · Knowledge Management for Business Process and Enterprise Modelling. The combination of intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains.

Soft Computing for Biomedical Applications and Related Topics

Author : Vladik Kreinovich
Publisher : Springer Nature
ISBN 13 : 3030495361
Total Pages : 322 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing for Biomedical Applications and Related Topics by : Vladik Kreinovich

Download or read book Soft Computing for Biomedical Applications and Related Topics written by Vladik Kreinovich and published by Springer Nature. This book was released on 2020-06-29 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques.

New Concepts and Applications in Soft Computing

Author : Valentina Emilia Balas
Publisher : Springer
ISBN 13 : 3642289592
Total Pages : 222 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis New Concepts and Applications in Soft Computing by : Valentina Emilia Balas

Download or read book New Concepts and Applications in Soft Computing written by Valentina Emilia Balas and published by Springer. This book was released on 2012-07-20 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a sample of research on the innovative theory and applications of soft computing paradigms. The idea of Soft Computing was initiated in 1981 when Professor Zadeh published his first paper on soft data analysis and constantly evolved ever since. Professor Zadeh defined Soft Computing as the fusion of the fields of fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory into one multidisciplinary system. As Zadeh said the essence of soft computing is that unlike the traditional, hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world. Thus, the guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality. In the final analysis, the role model for soft computing is the human mind. We hope that the reader will share our excitement and find our volume both useful and inspiring.

Soft Computing Applications

Author : Valentina Emilia Balas
Publisher : Springer
ISBN 13 : 3319625217
Total Pages : 559 pages
Book Rating : 4.3/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing Applications by : Valentina Emilia Balas

Download or read book Soft Computing Applications written by Valentina Emilia Balas and published by Springer. This book was released on 2017-08-31 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: These two volumes constitute the Proceedings of the 7th International Workshop on Soft Computing Applications (SOFA 2016), held on 24–26 August 2016 in Arad, Romania. This edition was organized by Aurel Vlaicu University of Arad, Romania, University of Belgrade, Serbia, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics (SRAIT) - Arad Section, General Association of Engineers in Romania - Arad Section, and BTM Resources Arad. The soft computing concept was introduced by Lotfi Zadeh in 1991 and serves to highli ght the emergence of computing methodologies in which the accent is on exploiting the tolerance for imprecision and uncertainty to achieve tractability, robustness and lower costs. Soft computing facilitates the combined use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing, leading to the concept of hybrid intelligent systems. The rapid emergence of new tools and applications calls for a synergy of scientific and technological disciplines in order to reveal the great potential of soft computing in all domains. The conference papers included in these proceedings, published post-conference, were grouped into the following areas of research: • Methods and Applications in Electrical Engineering • Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks • Biomedical Applications • Image, Text and Signal Processing • Machine Learning and Applications • &nb sp; Business Process Management • Fuzzy Applications, Theory and Fuzzy Control • Computational Intelligence in Education • Soft Computing & Fuzzy Logic i n Biometrics (SCFLB) • Soft Computing Algorithms Applied in Economy, Industry and Communication Technology • Modelling and Applications in Textiles The book helps to disseminate advances in selected active research directions in the field of soft computing, along with current issues and applications of related topics. As such, it provides valuable information for professors, researchers and graduate students in the area of soft computing techniques and applications.

Intelligent Systems and Soft Computing

Author : Behnam Azvine
Publisher : Springer
ISBN 13 : 3540449175
Total Pages : 358 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Systems and Soft Computing by : Behnam Azvine

Download or read book Intelligent Systems and Soft Computing written by Behnam Azvine and published by Springer. This book was released on 2006-12-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.