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AuthorTettamanzi, Andrea. author
TitleSoft Computing [electronic resource] : Integrating Evolutionary, Neural, and Fuzzy Systems / by Andrea Tettamanzi, Marco Tomassini
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001
Connect tohttp://dx.doi.org/10.1007/978-3-662-04335-6
Descript XIII, 328 p. online resource

SUMMARY

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


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


Mathematics Computers Algorithms Mathematical logic Artificial intelligence Complexity Computational Mathematics Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Computation by Abstract Devices Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages Complexity



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