Neuro-Fuzzy Techniques for Intelligent Information Systems
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Beschreibung
This volume comprises selected chapters that cover contemporary issues of the development and the application of neuro-fuzzy techniques. Developing and using neural networks, fuzzy logic systems, genetic algorithms and statistical methods as separate techniques, or in their combination, have been research topics in several areas such as mathematics, engineering, computer science, physics, economics and finance. Here the latest results in the fields are presented from both theoretical and practical point of view. The volume has four main parts. Part one presents generic techniques and theoretical issues while part two, three and four deal with practically oriented models, systems and implementations.
Presents the latest results in the field from both theoretical and practical point of view
Autor*in
Nikola Kasabov
Themen in »Neuro-Fuzzy Techniques for Intelligent Information Systems«
cognition expert system fuzzy logic fuzzy system genetic algorithms hardware information processing information retrieval information system intelligence learning modeling networks neural networks optimization