Soft Computing State Of The Art Theory And Novel Applications
Download Soft Computing State Of The Art Theory And Novel Applications full books in PDF, epub, and Kindle. Read online free Soft Computing State Of The Art Theory And Novel Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Ronald R Yager |
Publisher |
: Springer |
Total Pages |
: 316 |
Release |
: 2012-10-31 |
ISBN-10 |
: 9783642349225 |
ISBN-13 |
: 3642349226 |
Rating |
: 4/5 (25 Downloads) |
Synopsis Soft Computing: State of the Art Theory and Novel Applications by : Ronald R Yager
This book is a tribute to Lotfi A. Zadeh, the father of fuzzy logic, on the occasion of his 90th Birthday. The book gathers original scientific contributions written by top scientists and presenting the latest theories, applications and new trends in the fascinating and challenging field of soft computing.
Author |
: Erel Avineri |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 287 |
Release |
: 2008-12-28 |
ISBN-10 |
: 9783540880790 |
ISBN-13 |
: 3540880798 |
Rating |
: 4/5 (90 Downloads) |
Synopsis Applications of Soft Computing by : Erel Avineri
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.
Author |
: Fakhreddine O. Karray |
Publisher |
: Addison Wesley Longman |
Total Pages |
: 592 |
Release |
: 2004 |
ISBN-10 |
: UOM:39015059578040 |
ISBN-13 |
: |
Rating |
: 4/5 (40 Downloads) |
Synopsis Soft Computing and Intelligent Systems Design by : Fakhreddine O. Karray
Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.
Author |
: Yukinori Suzuki |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 658 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781447105091 |
ISBN-13 |
: 1447105095 |
Rating |
: 4/5 (91 Downloads) |
Synopsis Soft Computing in Industrial Applications by : Yukinori Suzuki
This book contains recent theoretical innovations and a comprehensive collection of industrial applications in the emerging field of Soft Computing. Soft computing is a new form of artificial intelligence and it consists of four core methodologies: Fuzzy Computing, Neuro Computing, Evolutionary Computation, and Probabilistic Computing. These individual techniques are clearly complementary or synergistic rather than competitive. Therefore, it is a common practice to combine two or three methodologies when solving complex problems. Also the systematic fusion of soft computing and hard computing is a highly potential alternative to be considered. Soft computing methodologies are suitable for various real-world applications, because the available information and system knowledge are often imprecise, un certain, or partially even incorrect. To handle such demanding conditions and obtain the required robustness with pure hard computing would typically be either very difficult or expensive. This book is a unique collection of technical articles providing a thorough overview of the state-of-the-art theory and industrial applications. The core articles on evolutionary computation, fuzzy computing, and neuro computing are of particular interest to researchers and practicing engineers.
Author |
: Valentina Emilia Balas |
Publisher |
: Springer |
Total Pages |
: 222 |
Release |
: 2012-07-20 |
ISBN-10 |
: 9783642289590 |
ISBN-13 |
: 3642289592 |
Rating |
: 4/5 (90 Downloads) |
Synopsis New Concepts and Applications in Soft Computing by : Valentina Emilia Balas
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.
Author |
: Tarun K. Sharma |
Publisher |
: Springer Nature |
Total Pages |
: 572 |
Release |
: 2021-06-26 |
ISBN-10 |
: 9789811616969 |
ISBN-13 |
: 9811616965 |
Rating |
: 4/5 (69 Downloads) |
Synopsis Soft Computing: Theories and Applications by : Tarun K. Sharma
This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.
Author |
: Samarjeet Borah |
Publisher |
: CRC Press |
Total Pages |
: 286 |
Release |
: 2022-02-03 |
ISBN-10 |
: 9781000406634 |
ISBN-13 |
: 1000406636 |
Rating |
: 4/5 (34 Downloads) |
Synopsis Applied Soft Computing by : Samarjeet Borah
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.
Author |
: Kumar S. Ray |
Publisher |
: CRC Press |
Total Pages |
: 633 |
Release |
: 2014-09-16 |
ISBN-10 |
: 9781926895383 |
ISBN-13 |
: 192689538X |
Rating |
: 4/5 (83 Downloads) |
Synopsis Soft Computing and Its Applications, Volume One by : Kumar S. Ray
This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The book starts with coverage of fuzzy sets and fuzzy logic and their various approaches to fuzzy reasoning. Precisely speaking, this book provides a platform for handling different kinds of uncertainties of real-life problems. It introduces the reader to the topic of rough sets. This book’s companion volume, Volume 2: Fuzzy Reasoning and Fuzzy Control, will move forward from here to discuss several advanced features of soft computing and application methodologies. This new book: • Discusses the present state of art of soft computing •Includes the existing application areas of soft computing • Presents original research contributions • Discusses the future scope of work in soft computing The book is unique in that it bridges the gap between theory and practice, and it presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists and engineers in different fields and industries for the application of soft computing tools in many diverse domains of engineering.
Author |
: Janusz Kacprzyk |
Publisher |
: Springer |
Total Pages |
: 255 |
Release |
: 2016-11-14 |
ISBN-10 |
: 9783319403144 |
ISBN-13 |
: 3319403141 |
Rating |
: 4/5 (44 Downloads) |
Synopsis Granular, Soft and Fuzzy Approaches for Intelligent Systems by : Janusz Kacprzyk
This book offers a comprehensive report on the state-of-the art in the broadly-intended field of “intelligent systems”. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors’ appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving.
Author |
: Rudolf Kruse |
Publisher |
: Springer |
Total Pages |
: 556 |
Release |
: 2016-09-16 |
ISBN-10 |
: 9781447172963 |
ISBN-13 |
: 1447172965 |
Rating |
: 4/5 (63 Downloads) |
Synopsis Computational Intelligence by : Rudolf Kruse
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.