Recurrent Fuzzy Neural Networks And Their Performance Analysis

Download Recurrent Fuzzy Neural Networks And Their Performance Analysis full books in PDF, epub, and Kindle. Read online Recurrent Fuzzy Neural Networks And Their Performance Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Recurrent Fuzzy Neural Networks and Their Performance Analysis

Author : R. A. Aliev
Publisher :
ISBN 13 : 9789537619084
Total Pages : pages
Book Rating : 4.6/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Recurrent Fuzzy Neural Networks and Their Performance Analysis by : R. A. Aliev

Download or read book Recurrent Fuzzy Neural Networks and Their Performance Analysis written by R. A. Aliev and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In spite of great importance of fuzzy neural networks for solving wide range of real-world problems, unfortunately, little progress has been made in their development. In this study we have discussed recurrent neural networks with fuzzy weights and biases as adjustable parameters and internal feedback loops, which allows capturing dynamic response of a system without using external feedback through delays. In this case all the nodes are able to process linguistic information. As the main problem regarding fuzzy and recurrent fuzzy neural networks that limits their application range is the difficulty of proper adjustment of fuzzy weights and biases, we put an emphasize on the RFNN training algorithm. We have proposed the standard DEO-based method for learning of recurrent fuzzy neural network. The optimization method, customized for RFNN training, compares favorably with the existing gradient-based error minimization method as it is less complex and is more likely to locate the global minimum of network error. As the method does not require derivative information, it is very effective in case when dealing with different distance functions. Also, the considered global optimization algorithm can provide high accuracy of fuzzy mapping with relatively smaller network size. The RFNN was tested on a number of benchmark identification and time-series forecasting problems well-known in the literature as well as on application problems. Experimental results demonstrated very good performance on all considered problems.

Type-2 Fuzzy Neural Networks and Their Applications

Author : Rafik Aziz Aliev
Publisher : Springer
ISBN 13 : 3319090720
Total Pages : 203 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Type-2 Fuzzy Neural Networks and Their Applications by : Rafik Aziz Aliev

Download or read book Type-2 Fuzzy Neural Networks and Their Applications written by Rafik Aziz Aliev and published by Springer. This book was released on 2014-09-08 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

Author : Lakhmi C. Jain
Publisher : CRC Press
ISBN 13 : 1000715124
Total Pages : 363 pages
Book Rating : 4.0/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms by : Lakhmi C. Jain

Download or read book Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms written by Lakhmi C. Jain and published by CRC Press. This book was released on 2020-01-29 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct frequency converters electro-hydraulic systems motor control toaster control speech recognition vehicle routing fault diagnosis Asynchronous Transfer Mode (ATM) communications networks telephones for hard-of-hearing people control of gas turbine aero-engines telecommunications systems design Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.

Issues in the Use of Neural Networks in Information Retrieval

Author : Iuliana F. Iatan
Publisher : Springer
ISBN 13 : 3319438719
Total Pages : 213 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Issues in the Use of Neural Networks in Information Retrieval by : Iuliana F. Iatan

Download or read book Issues in the Use of Neural Networks in Information Retrieval written by Iuliana F. Iatan and published by Springer. This book was released on 2016-09-28 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality.It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules.Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.

Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

Author : Eukene Imatz Ojanguren
Publisher : Springer
ISBN 13 : 303002735X
Total Pages : 147 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping by : Eukene Imatz Ojanguren

Download or read book Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping written by Eukene Imatz Ojanguren and published by Springer. This book was released on 2018-11-03 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort due to the application of Functional Electrical Stimulation to the upper limb. Then, it discusses briefly previous methods to model hand movements induced by FES with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.

Intelligent Hybrid Systems

Author : Da Ruan
Publisher : Springer Science & Business Media
ISBN 13 : 1461561914
Total Pages : 364 pages
Book Rating : 4.4/5 (615 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Hybrid Systems by : Da Ruan

Download or read book Intelligent Hybrid Systems written by Da Ruan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.

Flexible Neuro-Fuzzy Systems

Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
ISBN 13 : 1402080425
Total Pages : 286 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Flexible Neuro-Fuzzy Systems by : Leszek Rutkowski

Download or read book Flexible Neuro-Fuzzy Systems written by Leszek Rutkowski and published by Springer Science & Business Media. This book was released on 2004-05-19 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Neural Networks - ISNN 2007

Author : Derong Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3540723927
Total Pages : 1345 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Advances in Neural Networks - ISNN 2007 by : Derong Liu

Download or read book Advances in Neural Networks - ISNN 2007 written by Derong Liu and published by Springer Science & Business Media. This book was released on 2007-05-24 with total page 1345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation The three volume set LNCS 4491/4492/4493 constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. The 262 revised long papers and 192 revised short papers presented were carefully reviewed and selected from a total of 1.975 submissions. The papers are organized in topical sections on neural fuzzy control, neural networks for control applications, adaptive dynamic programming and reinforcement learning, neural networks for nonlinear systems modeling, robotics, stability analysis of neural networks, learning and approximation, data mining and feature extraction, chaos and synchronization, neural fuzzy systems, training and learning algorithms for neural networks, neural network structures, neural networks for pattern recognition, SOMs, ICA/PCA, biomedical applications, feedforward neural networks, recurrent neural networks, neural networks for optimization, support vector machines, fault diagnosis/detection, communications and signal processing, image/video processing, and applications of neural networks.

Discrete-Time Recurrent Neural Control

Author : Edgar N. Sanchez
Publisher : CRC Press
ISBN 13 : 1351377434
Total Pages : 292 pages
Book Rating : 4.3/5 (513 download)

DOWNLOAD NOW!

Book Synopsis Discrete-Time Recurrent Neural Control by : Edgar N. Sanchez

Download or read book Discrete-Time Recurrent Neural Control written by Edgar N. Sanchez and published by CRC Press. This book was released on 2018-09-03 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The simulation results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, to establish its properties. The book contains two sections: the first focuses on the analyses of control techniques; the second is dedicated to illustrating results of real-time applications. It also provides solutions for the output trajectory tracking problem of unknown nonlinear systems based on sliding modes and inverse optimal control scheme. "This book on Discrete-time Recurrent Neural Control is unique in the literature, with new knowledge and information about the new technique of recurrent neural control especially for discrete-time systems. The book is well organized and clearly presented. It will be welcome by a wide range of researchers in science and engineering, especially graduate students and junior researchers who want to learn the new notion of recurrent neural control. I believe it will have a good market. It is an excellent book after all." — Guanrong Chen, City University of Hong Kong "This book includes very relevant topics, about neural control. In these days, Artificial Neural Networks have been recovering their relevance and well-stablished importance, this due to its great capacity to process big amounts of data. Artificial Neural Networks development always is related to technological advancements; therefore, it is not a surprise that now we are being witnesses of this new era in Artificial Neural Networks, however most of the developments in this research area only focuses on applicability of the proposed schemes. However, Edgar N. Sanchez author of this book does not lose focus and include both important applications as well as a deep theoretical analysis of Artificial Neural Networks to control discrete-time nonlinear systems. It is important to remark that first, the considered Artificial Neural Networks are development in discrete-time this simplify its implementation in real-time; secondly, the proposed applications ranging from modelling of unknown discrete-time on linear systems to control electrical machines with an emphasize to renewable energy systems. However, its applications are not limited to these kind of systems, due to their theoretical foundation it can be applicable to a large class of nonlinear systems. All of these is supported by the solid research done by the author." — Alma Y. Alanis, University of Guadalajara, Mexico "This book discusses in detail; how neural networks can be used for optimal as well as robust control design. Design of neural network controllers for real time applications such as induction motors, boost converters, inverted pendulum and doubly fed induction generators has also been carried out which gives the book an edge over other similar titles. This book will be an asset for the novice to the experienced ones." — Rajesh Joseph Abraham, Indian Institute of Space Science & Technology, Thiruvananthapuram, India

Fuzzy Neural Intelligent Systems

Author : Hongxing Li
Publisher : CRC Press
ISBN 13 : 1420057995
Total Pages : 383 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Neural Intelligent Systems by : Hongxing Li

Download or read book Fuzzy Neural Intelligent Systems written by Hongxing Li and published by CRC Press. This book was released on 2018-10-03 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications: Fundamental concepts and theories for fuzzy systems and neural networks. Foundation for fuzzy neural networks and important related topics Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.

Fuzzy Neural Network Theory and Application

Author : Puyin Liu
Publisher : World Scientific
ISBN 13 : 9789812794215
Total Pages : 400 pages
Book Rating : 4.7/5 (942 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Neural Network Theory and Application by : Puyin Liu

Download or read book Fuzzy Neural Network Theory and Application written by Puyin Liu and published by World Scientific. This book was released on 2004 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering. Contents: Fuzzy Neural Networks for Storing and Classifying; Fuzzy Associative Memory OCo Feedback Networks; Regular Fuzzy Neural Networks; Polygonal Fuzzy Neural Networks; Approximation Analysis of Fuzzy Systems; Stochastic Fuzzy Systems and Approximations; Application of FNN to Image Restoration. Readership: Scientists, engineers and graduate students in applied mathematics, computer science, automatic control and information processing."

Recurrent Interval Type-2 Fuzzy Neural Network Using Asymmetric Membership Functions

Author : Ching-Hung Lee
Publisher :
ISBN 13 : 9789537619084
Total Pages : pages
Book Rating : 4.6/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Recurrent Interval Type-2 Fuzzy Neural Network Using Asymmetric Membership Functions by : Ching-Hung Lee

Download or read book Recurrent Interval Type-2 Fuzzy Neural Network Using Asymmetric Membership Functions written by Ching-Hung Lee and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This article has introduced a novel recurrent interval type-2 fuzzy neural network with asymmetric membership functions, which utilizes Lyapunov stability theorem to prove the stability of the system. The novel RiT2FNN-A use the interval asymmetric type-2 fuzzy sets implements the FLS in a five-layer neural network structure which contains four layer forward network and a feedback layer. According to the Lyapunov theorem and gradient descent method, the convergence of RiT2FNN-A is guaranteed and the corresponding learning algorithm is derived. Moreover, the RIT2FNN-A capability to temporarily store information allowed us to extend the application domain to include temporal problem. In application, We have found that the proposed RiT2FNN-A can use a smaller network structure and a small number of tuning parameters than the feed-forward fuzzy neural networks to obtain similar or better performance. It can successfully also approximate to a dynamic system mapping as accurately as desired.

Fuzzy Engineering Expert Systems with Neural Network Applications

Author : Adedeji Bodunde Badiru
Publisher : John Wiley & Sons
ISBN 13 : 0471275344
Total Pages : 313 pages
Book Rating : 4.4/5 (712 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Engineering Expert Systems with Neural Network Applications by : Adedeji Bodunde Badiru

Download or read book Fuzzy Engineering Expert Systems with Neural Network Applications written by Adedeji Bodunde Badiru and published by John Wiley & Sons. This book was released on 2002-10-08 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.

Neuro-fuzzy Pattern Recognition

Author : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9814492396
Total Pages : 276 pages
Book Rating : 4.8/5 (144 download)

DOWNLOAD NOW!

Book Synopsis Neuro-fuzzy Pattern Recognition by : Horst Bunke

Download or read book Neuro-fuzzy Pattern Recognition written by Horst Bunke and published by World Scientific. This book was released on 2000-12-22 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.

Neural Network Analysis, Architectures and Applications

Author : A Browne
Publisher : CRC Press
ISBN 13 : 9780750304993
Total Pages : 294 pages
Book Rating : 4.3/5 (49 download)

DOWNLOAD NOW!

Book Synopsis Neural Network Analysis, Architectures and Applications by : A Browne

Download or read book Neural Network Analysis, Architectures and Applications written by A Browne and published by CRC Press. This book was released on 1997-01-01 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter covering the latest information from different perspectives. Divided into three parts, the book first lays the groundwork for understanding and simplifying networks. It then describes novel architectures and algorithms, including pulse-stream techniques, cellular neural networks, and multiversion neural computing. The book concludes by examining various neural network applications, such as neuron-fuzzy control systems and image compression. This final part of the book also provides a case study involving oil spill detection. This book is invaluable for students and practitioners who have a basic understanding of neural computing yet want to broaden and deepen their knowledge of the field.

Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization

Author : Chen, Toly
Publisher : IGI Global
ISBN 13 : 146661871X
Total Pages : 328 pages
Book Rating : 4.4/5 (666 download)

DOWNLOAD NOW!

Book Synopsis Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization by : Chen, Toly

Download or read book Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization written by Chen, Toly and published by IGI Global. This book was released on 2012-07-31 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents the most innovative systematic and practical facets of fuzzy computing technologies to students, scholars, and academicians, as well as practitioners, engineers, and professionals"--

Neural Networks and Statistical Learning

Author : Ke-Lin Du
Publisher : Springer Nature
ISBN 13 : 1447174526
Total Pages : 988 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du

Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Nature. This book was released on 2019-09-12 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.