Neural Fuzzy Control Systems With Structure And Parameter Learning PDF Download
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| Author | : C. T. Lin |
| Publisher | : World Scientific |
| Total Pages | : 150 |
| Release | : 1994 |
| Genre | : Computers |
| ISBN | : 9789810216139 |
Download Neural Fuzzy Control Systems with Structure and Parameter Learning Book in PDF, ePub and Kindle
A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a fuzzy logic control and decision system. The FNN is a feedforward multi-layered network which integrates the basic elements and functions of a traditional fuzzy logic controller into a connectionist structure which has distributed learning abilities.In order to set up this proposed FNN, the author recommends two complementary structure/parameter learning algorithms: a two-phase hybrid learning algorithm and an on-line supervised structure/parameter learning algorithm.Both of these learning algorithms require exact supervised training data for learning. In some real-time applications, exact training data may be expensive or even impossible to get. To solve this reinforcement learning problem for real-world applications, a Reinforcement Fuzzy Neural Network (RFNN) is further proposed. Computer simulation examples are presented to illustrate the performance and applicability of the proposed FNN, RFNN and their associated learning algorithms for various applications.
| Author | : Ching Tai Lin |
| Publisher | : Prentice Hall |
| Total Pages | : 824 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : |
Download Neural Fuzzy Systems Book in PDF, ePub and Kindle
Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of how these two fields can be integrated to create Neural-Fuzzy Systems. It includes Matlab software, with a Neural Network Toolkit, and a Fuzzy System Toolkit.
| Author | : Chin-Teng Lin |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 144 |
| Release | : 1994-02-08 |
| Genre | : |
| ISBN | : 9813104708 |
Download Neural Fuzzy Control Systems with Structure and Parameter Learning Book in PDF, ePub and Kindle
A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a fuzzy logic control and decision system. The FNN is a feedforward multi-layered network which integrates the basic elements and functions of a traditional fuzzy logic controller into a connectionist structure which has distributed learning abilities. In order to set up this proposed FNN, the author recommends two complementary structure/parameter learning algorithms: a two-phase hybrid learning algorithm and an on-line supervised structure/parameter learning algorithm. Both of these learning algorithms require exact supervised training data for learning. In some real-time applications, exact training data may be expensive or even impossible to get. To solve this reinforcement learning problem for real-world applications, a Reinforcement Fuzzy Neural Network (RFNN) is further proposed. Computer simulation examples are presented to illustrate the performance and applicability of the proposed FNN, RFNN and their associated learning algorithms for various applications.
| Author | : David A. White |
| Publisher | : Van Nostrand Reinhold Company |
| Total Pages | : 600 |
| Release | : 1992 |
| Genre | : Technology & Engineering |
| ISBN | : |
Download Handbook of Intelligent Control Book in PDF, ePub and Kindle
This handbook shows the reader how to develop neural networks and apply them to various engineering control problems. Based on a workshop on aerospace applications, this tutorial covers integration of neural networks with existing control architectures as well as new neurocontrol architectures in nonlinear control.
| Author | : Jelena Godjevac |
| Publisher | : EPFL Press |
| Total Pages | : 172 |
| Release | : 1997-01-01 |
| Genre | : Fuzzy logic |
| ISBN | : 9782880743550 |
Download Neuro-fuzzy Controllers Book in PDF, ePub and Kindle
| Author | : Abraham Kandel |
| Publisher | : CRC Press |
| Total Pages | : 664 |
| Release | : 1993-09-27 |
| Genre | : Computers |
| ISBN | : 9780849344961 |
Download Fuzzy Control Systems Book in PDF, ePub and Kindle
Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues concerning the analysis, design, and application of fuzzy control systems. Divided into three parts, the book first devotes itself to the general theory of fuzzy control systems. The second part deals with a variety of methodologies and algorithms used in the analysis and design of fuzzy controllers. The various paradigms include fuzzy reasoning models, fuzzy neural networks, fuzzy expert systems, and genetic algorithms. The final part considers current applications of fuzzy control systems. This book should be required reading for researchers, practitioners, and students interested in fuzzy control systems, artificial intelligence, and fuzzy sets and systems.
| Author | : Leszek Rutkowski |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 286 |
| Release | : 2006-04-18 |
| Genre | : Computers |
| ISBN | : 1402080433 |
Download Flexible Neuro-Fuzzy Systems Book in PDF, ePub and Kindle
Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering.
| Author | : Yiannis Boutalis |
| Publisher | : Springer Science & Business |
| Total Pages | : 316 |
| Release | : 2014-04-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3319063642 |
Download System Identification and Adaptive Control Book in PDF, ePub and Kindle
Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.
| Author | : Danuta Rutkowska |
| Publisher | : Physica |
| Total Pages | : 292 |
| Release | : 2012-11-13 |
| Genre | : Computers |
| ISBN | : 379081802X |
Download Neuro-Fuzzy Architectures and Hybrid Learning Book in PDF, ePub and Kindle
The advent of the computer age has set in motion a profound shift in our perception of science -its structure, its aims and its evolution. Traditionally, the principal domains of science were, and are, considered to be mathe matics, physics, chemistry, biology, astronomy and related disciplines. But today, and to an increasing extent, scientific progress is being driven by a quest for machine intelligence - for systems which possess a high MIQ (Machine IQ) and can perform a wide variety of physical and mental tasks with minimal human intervention. The role model for intelligent systems is the human mind. The influ ence of the human mind as a role model is clearly visible in the methodolo gies which have emerged, mainly during the past two decades, for the con ception, design and utilization of intelligent systems. At the center of these methodologies are fuzzy logic (FL); neurocomputing (NC); evolutionary computing (EC); probabilistic computing (PC); chaotic computing (CC); and machine learning (ML). Collectively, these methodologies constitute what is called soft computing (SC). In this perspective, soft computing is basically a coalition of methodologies which collectively provide a body of concepts and techniques for automation of reasoning and decision-making in an environment of imprecision, uncertainty and partial truth.
| Author | : H. B. Verbruggen |
| Publisher | : World Scientific |
| Total Pages | : 344 |
| Release | : 1999 |
| Genre | : Technology & Engineering |
| ISBN | : 9789810238254 |
Download Fuzzy Logic Control Book in PDF, ePub and Kindle
Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modeling. Surveys of advanced methodologies are included in the second part. These surveys address fuzzy decision making and control, fault detection, isolation and diagnosis, complexity reduction in fuzzy systems and neuro-fuzzy methods. The third part contains application-oriented contributions from various fields, such as process industry, cement and ceramics, vehicle control and traffic management, electromechanical and production systems, avionics, biotechnology and medical applications. The book is intended for researchers both from the academic world and from industry.
