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Fuzzy and Neural: Interactions and Applications (Studies in Fuzziness and Soft Computing) ePub download

by Thomas Feuring,James J. Buckley

  • Author: Thomas Feuring,James J. Buckley
  • ISBN: 379081170X
  • ISBN13: 978-3790811704
  • ePub: 1400 kb | FB2: 1867 kb
  • Language: English
  • Category: Computer Science
  • Publisher: Physica; 1999 edition (March 5, 1999)
  • Pages: 162
  • Rating: 4.1/5
  • Votes: 453
  • Format: rtf docx azw lrf
Fuzzy and Neural: Interactions and Applications (Studies in Fuzziness and Soft Computing) ePub download

Fuzzy systems and neural networks are naturally complementary because they overlap in their usefulness for certain problems. Series: Studies in Fuzziness and Soft Computing (Book 25). Hardcover: 162 pages.

Fuzzy systems and neural networks are naturally complementary because they overlap in their usefulness for certain problems. Fuzzy and Neural: Interactions and Applications is for those who are interested in using these powerful tools together in a variety of ways, such as using neural nets to mimic fuzzy systems. The first chapters introduce fuzzy mathematics and elements of layered, feed-forward neural nets.

The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the . Studies in Fuzziness and Soft Computing.

The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets. Show all. Table of contents (12 chapters).

Электронная книга "Fuzzy and Neural: Interactions and Applications", James J. Buckley, Thomas Feuring. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Fuzzy and Neural: Interactions and Applications" для чтения в офлайн-режиме.

Also called "soft computing". Series: Studies in Fuzziness and Soft Computing 25. File: PDF, . 6 MB. Читать онлайн. The treatment is elementary in that all "proofs" have been relegated to the references and the only mathematical prerequisite is elementary differential calculus. The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets.

Автор: James J. Buckley; Thomas Feuring Название: Fuzzy and Neural .

The book ?Fuzzy Networks for Complex Systems? by Alexander Gegov appears in the Springer Studies in Fuzziness and Soft .

The book ?Fuzzy Networks for Complex Systems? by Alexander Gegov appears in the Springer Studies in Fuzziness and Soft Computing Series. Fuzzy networks as described here are networks where the nodes are fuzzy rule bases and there are connections between the nodes, for example inputting the outputs from one fuzzy system to another. The book demonstrates the utility of this machine learning technique in recent real-world applications in such domains as data mining, modeling and optimization, and control.

This book is the companion text to Simulating Fuzzy Systems which .

This book is the companion text to Simulating Fuzzy Systems which investigated discrete fuzzy systems through crisp discrete simulation. The current book studies continuous fuzzy dynamical systems using crisp continuous simulation. We start with a crisp continuous dynamical system whose evolution depends on a system of ordinary differential equations (ODEs). The system of ODEs contains parameters many of which have uncertain values. The applications range from Bungee jumping to the AIDS epidemic to dynamical models in economics. Скачать (pdf, . 3 Mb) Читать. Epub FB2 mobi txt RTF.

The scientific journal Categories and General Algebraic Structures with Applications is included in the Scopus database. Publisher of the journal is SHAHID BEHESHTI UNIV, FAC MATHEMATICAL SCIENCES, EVIN, TEHRAN, IRAN, 19839. Publisher country is Iran. View detail 5 minute of reading. Studies in Fuzziness and Soft Computing 1434-9922.

Fuzzy and Neural book. Start by marking Fuzzy and Neural: Interactions and Applications as Want to Read: Want to Read savin. ant to Read.

About this Series The series Studies in Fuzziness and Soft Computing  .

About this Series The series Studies in Fuzziness and Soft Computing contains publications on various topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks, evolutionary computation, probabilistic and evidential reasoning, multi-valued logic, and related elds. They cover signicant recent developments in the eld, both of a foundational and applicable character. The last chapter is entirely dedicated to practical applications of Fuzzy Logic using FuzzyLisp.

The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural. Most of the discussion centers around our own research in these areas. Fuzzy + neural can mean many things: (1) approximations between fuzzy systems and neu­ ral nets (Chapter 4); (2) building hybrid neural nets to equal fuzzy systems (Chapter 5); (3) using neura.l nets to solve fuzzy problems (Chapter 6); (4) approximations between fuzzy neural nets and other fuzzy systems (Chap­ ter 8); (5) constructing hybrid fuzzy neural nets for certain fuzzy systems (Chapters 9, 10); or (6) computing with words (Chapter 11). This book is not intend to be used primarily as a text book for a course in fuzzy + neural because we have not included problems at the end of each chapter, we have omitted most proofs (given in the references), and we have given very few references. We wanted to keep the mathematical prerequisites to a minimum so all longer, involved, proofs were omitted. Elementary dif­ ferential calculus is the only prerequisite needed since we do mention partial derivatives once or twice.
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