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Book Title
Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Syste
Publication Date
2001-09-07
Pages
328
ISBN
9783540422044
類別

關於產品

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3540422048
ISBN-13
9783540422044
eBay Product ID (ePID)
1967350

Product Key Features

Number of Pages
Xiii, 328 Pages
Language
English
Publication Name
Soft Computing : Integrating Evolutionary, Neural and Fuzzy System
Subject
Intelligence (Ai) & Semantics, Computer Science, Data Processing, Logic
Publication Year
2001
Type
Textbook
Author
Andrea Tettamanzi
Subject Area
Mathematics, Computers
Format
Hardcover

Dimensions

Item Weight
68.4 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2001-042073
Reviews
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 Svtek, 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), 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 Svítek, 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), 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 Svítek, 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), 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 Svítek, 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)
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
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.
Synopsis
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
LC Classification Number
QA8.9-10.3

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