Soft Computing Integrating Evolutionary, Neural, and Fuzzy System

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 a? all inspired by nature. a? 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. a? 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. a? I fully agree with the authors that several techniques presented can be used sequentially to solve parts of the problem in a a?pipelinea? fashion, because it a? will be used increasingly." (Dr. Ing. Miroslav Sv?-tek, Neural Network World, Vol. 12 (2), 2002)Tettamanzi, Andrea is the author of 'Soft Computing Integrating Evolutionary, Neural, and Fuzzy System' with ISBN 9783540422044 and ISBN 3540422048.