The Ieee International Conference On Fuzzy Systems Proceedings
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| Author | : Hung T. Nguyen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 532 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461555051 |
The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.
| Author | : Nadia Nedjah |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 252 |
| Release | : 2005-05-20 |
| Genre | : Computers |
| ISBN | : 9783540253228 |
This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2020-07-19 |
| Genre | : |
| ISBN | : 9781728169330 |
FUZZ IEEE is the top leading conference in the area of theory and applications of fuzzy logic
| Author | : Cornelius T. Leondes |
| Publisher | : CRC Press |
| Total Pages | : 2208 |
| Release | : 2018-10-08 |
| Genre | : Technology & Engineering |
| ISBN | : 1420040812 |
Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.
| Author | : Elie Sanchez |
| Publisher | : World Scientific |
| Total Pages | : 254 |
| Release | : 1997 |
| Genre | : Computers |
| ISBN | : 9789810224233 |
Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms.
| Author | : |
| Publisher | : I-Tech |
| Total Pages | : 796 |
| Release | : |
| Genre | : Robotics |
| ISBN | : 3866110383 |
| Author | : Ahmad Taher Azar |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 230 |
| Release | : 2010-02-01 |
| Genre | : Computers |
| ISBN | : 9537619923 |
While several books are available today that address the mathematical and philosophical foundations of fuzzy logic, none, unfortunately, provides the practicing knowledge engineer, system analyst, and project manager with specific, practical information about fuzzy system modeling. Those few books that include applications and case studies concentrate almost exclusively on engineering problems: pendulum balancing, truck backeruppers, cement kilns, antilock braking systems, image pattern recognition, and digital signal processing. Yet the application of fuzzy logic to engineering problems represents only a fraction of its real potential. As a method of encoding and using human knowledge in a form that is very close to the way experts think about difficult, complex problems, fuzzy systems provide the facilities necessary to break through the computational bottlenecks associated with traditional decision support and expert systems. Additionally, fuzzy systems provide a rich and robust method of building systems that include multiple conflicting, cooperating, and collaborating experts (a capability that generally eludes not only symbolic expert system users but analysts who have turned to such related technologies as neural networks and genetic algorithms). Yet the application of fuzzy logic in the areas of decision support, medical systems, database analysis and mining has been largely ignored by both the commercial vendors of decision support products and the knowledge engineers who use them.
| Author | : Tapio Lokki |
| Publisher | : MDPI |
| Total Pages | : 621 |
| Release | : 2018-06-26 |
| Genre | : Science |
| ISBN | : 3038429074 |
This book is a printed edition of the Special Issue "Sound and Music Computing" that was published in Applied Sciences
| Author | : Nikola K. Kasabov |
| Publisher | : Springer |
| Total Pages | : 742 |
| Release | : 2018-08-29 |
| Genre | : Technology & Engineering |
| ISBN | : 3662577151 |
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
| Author | : Miguel Bernal |
| Publisher | : Springer Nature |
| Total Pages | : 349 |
| Release | : 2022-02-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3030907732 |
This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures. Analysis and Synthesis of Nonlinear Control Systems begins with an introduction to the topic and a discussion of the problems to be solved. It then explores modelling via convex structures, including quasi-linear parameter-varying, Takagi–Sugeno models, and linear fractional transformation structures. The authors cover stability analysis, addressing Lyapunov functions and the stability of polynomial models, as well as the performance and robustness of the models. With detailed examples, simulations, and programming code, this book will be useful to instructors, researchers, and graduate students interested in nonlinear control systems.
