Share

Neuro-fuzzy and Soft Computing

1997 Computers
Download Neuro-fuzzy and Soft Computing PDF Online Free

Author :
Release : 1997
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Neuro-fuzzy and Soft Computing by : Jyh-Shing Roger Jang

Download or read book Neuro-fuzzy and Soft Computing written by Jyh-Shing Roger Jang. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.

Neuro-fuzzy and Soft Computing

2004 Fuzzy systems
Download Neuro-fuzzy and Soft Computing PDF Online Free

Author :
Release : 2004
Genre : Fuzzy systems
Kind : eBook
Book Rating : 443/5 ( reviews)

GET EBOOK


Book Synopsis Neuro-fuzzy and Soft Computing by : 張智星

Download or read book Neuro-fuzzy and Soft Computing written by 張智星. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications

2012-12-06 Computers
Download Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications PDF Online Free

Author :
Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 308/5 ( reviews)

GET EBOOK


Book Synopsis Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications by : Okyay Kaynak

Download or read book Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications written by Okyay Kaynak. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.

Fuzzy and Neuro-Fuzzy Intelligent Systems

2000-04-06 Business & Economics
Download Fuzzy and Neuro-Fuzzy Intelligent Systems PDF Online Free

Author :
Release : 2000-04-06
Genre : Business & Economics
Kind : eBook
Book Rating : 893/5 ( reviews)

GET EBOOK


Book Synopsis Fuzzy and Neuro-Fuzzy Intelligent Systems by : Ernest Czogała

Download or read book Fuzzy and Neuro-Fuzzy Intelligent Systems written by Ernest Czogała. This book was released on 2000-04-06. Available in PDF, EPUB and Kindle. Book excerpt: The book provides an introduction to basic concepts as well as some recent advancements in fuzzy set theory, approximate reasoning, artificial neural networks and clustering methods. These methodologies create together the so-called soft computing, which is part of a computational approach to system intelligence. The book deals with an overview of fuzzy set theory, foundations for approximate reasoning principles, specific equivalence of inference results using logical conjunctive interpretations of if-then rules, supervised and unsupervised artificial neural networks, a new generalized conditional fuzzy clustering method, artificial neural networks-based fuzzy inference system with parameterized consequences in if-then rules, MATLAB(R) m-files implementation of neuro-fuzzy systems, detailed study of neuro-fuzzy systems applications.

Neuro-Fuzzy Architectures and Hybrid Learning

2012-11-13 Computers
Download Neuro-Fuzzy Architectures and Hybrid Learning PDF Online Free

Author :
Release : 2012-11-13
Genre : Computers
Kind : eBook
Book Rating : 02X/5 ( reviews)

GET EBOOK


Book Synopsis Neuro-Fuzzy Architectures and Hybrid Learning by : Danuta Rutkowska

Download or read book Neuro-Fuzzy Architectures and Hybrid Learning written by Danuta Rutkowska. This book was released on 2012-11-13. Available in PDF, EPUB and Kindle. Book excerpt: 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.

You may also like...