Soft Computing

Integrating Evolutionary, Neural, and Fuzzy Systems

Andrea Tettamanzi, J. Janßen, Marco Tomassini

$130.95 $105.07

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
07 September 2001

Mathematical logic; Fuzzy set theory; Neural networks & fuzzy systems

Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as

By: Andrea Tettamanzi, Marco Tomassini
Cover design or artwork by: J. Janßen
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2001 ed.
Dimensions: Height: 254mm, Width: 178mm, Spine: 20mm
Weight: 1.940kg
ISBN: 9783540422044
ISBN 10: 3540422048
Pages: 328
Publication Date: 07 September 2001
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

1 Evolutionary Algorithms.- 2 Artificial Neural Networks.- 3 Fuzzy Systems.- 4 Evolutionary Design of Artificial Neural Networks.- 5 Evolutionary Design of Fuzzy Systems.- 6 Neuro-fuzzy Systems.- 7 Fuzzy Evolutionary Algorithms.- 8 Natural Parallel (Soft) Computing.- 9 Epilogue.

Reviews for Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems

From the reviews: The authors explain that soft computing is a term covering such computing methodologies which are, in some sense, tolerant of imprecision, uncertainty and partial truth. There are three of them exposed in this book, namely: fuzzy logic, evolutionary algorithms and artificial neural networks - all inspired by nature. ... The book contains many examples of applications, which cover a broad spectrum: finance, medicine, robotics and others. (Jerzy Mycka, Zentralblatt MATH, Vol. 981, 2002) The reviewed book is intended both for undergraduate students in soft computing disciplines as well as for engineers, practitioners, and problem solvers in many areas of application. ... The main theme of the reviewed book is integration and synergistic co-operation of a few soft-computing methodologies that have their roots in neural systems. ... I fully agree with the authors that several techniques presented can be used sequentially to solve parts of the problem in a `pipeline' fashion, because it ... will be used increasingly. (Dr. Ing. Miroslav Svitek, Neural Network World, Vol. 12 (2), 2002) The book Soft Computing: Integrating Evolutionary, Neural and Fuzzy Systems provides a comprehensive introduction to the area of soft computing addressing three of the main constituents of this discipline: fuzzy logic, neural computing and evolutionary computing. ... The book is primarily aimed at undergraduate students and practitioners in the field. The book is organized in a modular form which enable readers to select their own pathway through the chapters. ... The academic content is well supported by informative practical examples and case studies. (Liam Maguire, Artificial Intelligence Review, Vol. 23, 2006)