Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems
Autor Andrea Tettamanzi Concept copertă de J. Janßen Autor Marco Tomassinien Limba Engleză Hardback – 7 sep 2001
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
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 395.85 lei 6-8 săpt. | |
Springer Berlin, Heidelberg – 9 dec 2010 | 395.85 lei 6-8 săpt. | |
Hardback (1) | 404.89 lei 6-8 săpt. | |
Springer Berlin, Heidelberg – 7 sep 2001 | 404.89 lei 6-8 săpt. |
Preț: 404.89 lei
Nou
Puncte Express: 607
Preț estimativ în valută:
77.49€ • 79.94$ • 65.58£
77.49€ • 79.94$ • 65.58£
Carte tipărită la comandă
Livrare economică 05-19 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783540422044
ISBN-10: 3540422048
Pagini: 348
Ilustrații: XIII, 328 p.
Dimensiuni: 178 x 254 x 27 mm
Greutate: 0.81 kg
Ediția:2001
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540422048
Pagini: 348
Ilustrații: XIII, 328 p.
Dimensiuni: 178 x 254 x 27 mm
Greutate: 0.81 kg
Ediția:2001
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Professional/practitionerCuprins
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.
Recenzii
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)
"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)
Caracteristici
The first book to integrate the evolutionary, fuzzy-logic, and neural-network approaches to information processing in a well-balanced way, at the text book level Numerous detailed examples Includes supplementary material: sn.pub/extras