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Advances Of Soft Computing In Engineering
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Book Synopsis Advances in Soft Computing by : Rajkumar Roy
Download or read book Advances in Soft Computing written by Rajkumar Roy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Soft Computing contains the most recent developments in the field of soft computing in engineering design and manufacture. The book comprises a selection of papers that were first presented in June 1998 at the 3rd On-line World Conference on Soft Computing in Engineering Design and Manufacturing. Amongst these are four invited papers by World-renowned researchers in the field. Soft computing is a collection of methodologies which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The area of applications of soft computing is extensive. Principally the constituents of soft computing are: fuzzy computing, neuro-computing, genetic computing and probabilistic computing. The topics in this book are well focused on engineering design an d manufacturing. This broad collection of 43 research papers, has been arranged into nine parts by the editors. These include: Design Support Systems, Intelligent Control, Data Mining and New Topics in EA basics. The papers on evolutionary design and optimisation are of particular interest. Innovative techniques are explored and the reader is introduced to new, highly advanced research results. The editors present a unique collection of papers that provide a comprehensive overview of current developments in soft computing research around the world.
Book Synopsis Advances of Soft Computing in Engineering by : Zenon Waszczyszyn
Download or read book Advances of Soft Computing in Engineering written by Zenon Waszczyszyn and published by Springer Science & Business Media. This book was released on 2010-01-01 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures.
Book Synopsis Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing by : Sujata Dash
Download or read book Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing written by Sujata Dash and published by Springer Nature. This book was released on 2021-11-05 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution. However, recent advancements in representation soft computing algorithms (fuzzy logic,evolutionary computation, machine learning, and probabilistic reasoning) generate a more intelligent and robust system providing a human interpretable, low-cost, approximate solution. Soft computing-based algorithms have demonstrated great performance to a variety of areas including multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, biomedical and health informatics, etc. Soft computing approaches such as genetic programming (GP), support vector machine–firefly algorithm (SVM-FFA), artificial neural network (ANN), and support vector machine–wavelet (SVM–Wavelet) have emerged as powerful computational models. These have also shown significant success in dealing with massive data analysis for large number of applications. All the researchers and practitioners will be highly benefited those who are working in field of computer engineering, medicine, biology application, signal processing, and mechanical engineering. This book is a good collection of state-of-the-art approaches for soft computing-based applications to various engineering fields. It is very beneficial for the new researchers and practitioners working in the field to quickly know the best performing methods. They would be able to compare different approaches and can carry forward their research in the most important area of research which has direct impact on betterment of the human life and health. This book is very useful because there is no book in the market which provides a good collection of state-of-the-art methods of soft computing-based models for multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, and biomedical and health informatics.
Book Synopsis Advances in Soft and Hard Computing by : Jerzy Pejaś
Download or read book Advances in Soft and Hard Computing written by Jerzy Pejaś and published by Springer. This book was released on 2018-12-12 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a collection of carefully selected, peer-reviewed papers from the 21st International Multi-Conference on Advanced Computer Systems 2018 (ACS 2018), which was held in Międzyzdroje, Poland on September 24th-26th, 2018. The goal of the ACS 2018 was to bring artificial intelligence, software technologies, biometrics, IT security and distance learning researchers in contact with the ACS community, and to give ACS attendees the opportunity to exchange notes on the latest advances in these areas of interest. The primary focus of the book is on high-quality, original and unpublished research, case studies, and implementation experiences. All of the respective papers are of practical relevance to the construction, evaluation, application or operation of advanced systems. The topics addressed are divided into five major groups: artificial intelligence, software technologies, information technology security, multimedia systems, and information system design.
Book Synopsis Advances in Computer Science and Engineering by : Dehuai Zeng
Download or read book Advances in Computer Science and Engineering written by Dehuai Zeng and published by Springer Science & Business Media. This book was released on 2012-01-26 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the second International Conference on Advances in Computer Science and Engineering (CES 2012), which was held during January 13-14, 2012 in Sanya, China. The papers in these proceedings of CES 2012 focus on the researchers’ advanced works in their fields of Computer Science and Engineering mainly organized in four topics, (1) Software Engineering, (2) Intelligent Computing, (3) Computer Networks, and (4) Artificial Intelligence Software.
Book Synopsis Advances in Intelligent Automation and Soft Computing by : Xiaolong Li
Download or read book Advances in Intelligent Automation and Soft Computing written by Xiaolong Li and published by Springer Nature. This book was released on 2021-07-26 with total page 1317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing.
Book Synopsis Advances in Computer Science and Information Engineering by : David Jin
Download or read book Advances in Computer Science and Information Engineering written by David Jin and published by Springer Science & Business Media. This book was released on 2012-05-16 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: CSIE2012 is an integrated conference concentrating its focus on Computer Science and Information Engineering . In the proceeding, you can learn much more knowledge about Computer Science and Information Engineering of researchers from all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned fields. In order to meet the high quality of Springer, AISC series, the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organizers had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.
Book Synopsis Theoretical Advances and Applications of Fuzzy Logic and Soft Computing by : Oscar Castillo
Download or read book Theoretical Advances and Applications of Fuzzy Logic and Soft Computing written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2007-06-08 with total page 893 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.
Download or read book Soft Computing written by Pradip Debnath and published by CRC Press. This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores Soft Computing techniques in a systematic manner starting from their initial stage to recent developments in this area. The book presents a survey of the existing knowledge and also the current state-of-the-art development through cutting-edge original new contributions from the researchers. Soft Computing: Recent Advances and Applications in Engineering and Mathematical Sciences, presents a survey of the existing knowledge and also the current state of the art development through cutting-edge original new contributions from the researchers. As suggested by the title, this book particularly focuses on the recent advances and applications of soft computing techniques in engineering and mathematical sciences. The first chapter describes the contribution of soft computing techniques towards a new paradigm shift. The subsequent chapters present a systematic application of fuzzy logic in mathematical sciences and decision-making. New research directions are also provided at the end of each chapter. The application of soft computing in health sciences and in the modeling of epidemics including the effects of vaccination are also examined. Sustainability of green product development, optimum design of 3D steel frame, digitalization investment analysis in the maritime industry, forecasting return rates of individual pension funds are among some of the topics where engineering and industrial applications of soft computing have been studied in the book. The readers of this book will require minimum pre-requisites of undergraduate studies in computation and mathematics. This book is meant for graduate students, faculty, and researchers that are applying soft computing in engineering and mathematics. New research directions are also provided at the end of each chapter"--
Book Synopsis Applied Computational Intelligence and Soft Computing in Engineering by : Saifullah Khalid
Download or read book Applied Computational Intelligence and Soft Computing in Engineering written by Saifullah Khalid and published by Engineering Science Reference. This book was released on 2017-09-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents 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. This volume ncludes coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence.
Book Synopsis Advances on Smart and Soft Computing by : Faisal Saeed
Download or read book Advances on Smart and Soft Computing written by Faisal Saeed and published by Springer Nature. This book was released on 2021-12-09 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the papers included in the proceedings of the 2nd International Conference of Advanced Computing and Informatics (ICACIn’21) that was held in Casablanca, Morocco, on May 24–25, 2021. The main theme of the book is “Advances on Smart and Soft Computing.” A total of 71 papers were submitted to the conference, but only 44 papers were accepted and published in this book. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT), information security, cloud computing, networking and computational informatics.
Book Synopsis Applications of Soft Computing by : Erel Avineri
Download or read book Applications of Soft Computing written by Erel Avineri and published by Springer Science & Business Media. This book was released on 2008-12-28 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.
Book Synopsis Fuzzy Information and Engineering by :
Download or read book Fuzzy Information and Engineering written by and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications and Science in Soft Computing by : Ahmad Lotfi
Download or read book Applications and Science in Soft Computing written by Ahmad Lotfi and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing techniques have reached a significant level of recognition and - ceptance from both the academic and industrial communities. The papers collected in this volume illustrate the depth of the current theoretical research trends and the breadth of the application areas in which soft computing methods are making c- tributions. This volume consists of forty six selected papers presented at the Fourth Inter- tional Conference on Recent Advances in Soft Computing, which was held in N- th th tingham, United Kingdom on 12 and 13 December 2002 at Nottingham Trent University. This volume is organized in five parts. The first four parts address mainly the f- damental and theoretical advances in soft computing, namely Artificial Neural Networks, Evolutionary Computing, Fuzzy Systems and Hybrid Systems. The fifth part of this volume presents papers that deal with practical issues and ind- trial applications of soft computing techniques. We would like to express our sincere gratitude to all the authors who submitted contributions for inclusion. We are also indebted to Janusz Kacprzyk for his - vices related to this volume. We hope you find the volume an interesting refl- tion of current theoretical and application based soft computing research.
Book Synopsis Advances in Soft Computing and Machine Learning in Image Processing by : Aboul Ella Hassanien
Download or read book Advances in Soft Computing and Machine Learning in Image Processing written by Aboul Ella Hassanien and published by Springer. This book was released on 2017-10-13 with total page 711 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
Book Synopsis Practical Applications of Soft Computing in Engineering by : Sung-Bae Cho
Download or read book Practical Applications of Soft Computing in Engineering written by Sung-Bae Cho and published by World Scientific. This book was released on 2001 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ch. 1. Automatic detection of microcalcifications in mammograms using a fuzzy classifier / A. P. Drijarkara, G. Naghdy, F. Naghdy -- ch. 2. Software deployability control system: application of Choquet integral and rough sets / James F. Peters III, Sheela Ramanna -- ch. 3. Predictive fuzzy model for control of an artificial muscle / Petar B. Petrovic -- ch. 4. Fuzzy supervisory control with fuzzy-PID controller and its application to petroleum plants / Tetsuji Tani, Hiroaki Kobayashi, Takeshi Furuhashi -- ch. 5. Genetic algorithm-based predictive control for nonlinear processes / Seung C. Shin, Zeungnam Bien -- ch. 6. Indirect neuro-control for multivariable nonlinear systems with application to 2-bar load systems / Jun Oh Jang, Hee Tae Chung -- ch. 7. Evolutionary computation for information retrieval based on user preference / Hak-Gyoon Kim, Sung-Bae Cho -- ch. 8. On-line tool condition monitoring based on a neurofuzzy intelligent signal feature classification procedure / Pan Fu, A. D. Hope, G. A. King -- ch. 9. Feature extraction by self-organized fuzzy templates with applications / Eiji Uchino, Shigeru Nakashima, Takeshi Yamakawa -- ch. 10. Inference of self-excited vibration in high-speed end-milling based on fuzzy neural networks / Chuanxin Su, Junichi Hino, Toshio Yoshimura -- ch. 11. Fuzzy logic and neural networks approach -- a way to improve overall performance of integrated heating systems / Evgueniy Entchev -- ch. 12. Application of fuzzy pattern matching and genetic algorithms to rotating machinery diagnosis / Jesus M. Fernandez Salido, Shuta Murakami -- ch. 13. Design and tuning a neurofuzzy power system stabilizer using genetic algorithms / Ali Afzalian, Derek A. Linkens -- ch. 14. Techniques of soft computing for emergency management in a mineral oils deposit / Alessandro De Carli, Sonia Pisani -- ch. 15. An application of logic programs with soft computing aspects to fault diagnosis in digital circuits / Hiroshi Sakai, Atsushi Imamoto, Akimichi Okuma -- ch. 16. Determination of the motion parameters from the perspective projection of a triangle / Myint Myint Sein, Hiromitsu Hama.
Book Synopsis Advanced Practical Process Control by : Brian Roffel
Download or read book Advanced Practical Process Control written by Brian Roffel and published by Springer Science & Business Media. This book was released on 2011-06-27 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: An application-oriented approach to process control. The reference text systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach.
