New Learning Paradigms in Soft Computing von Lakhmi C. Jain

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ISBN: 978-3-7908-1436-1
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Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

AutorJain, Lakhmi C. / Kacprzyk, Janusz
EinbandFester Einband
Erscheinungsjahr2001
Seitenangabe464 S.
LieferstatusLieferbar in ca. 20-45 Arbeitstagen
AusgabekennzeichenEnglisch
AbbildungenXII, 464 p.
MasseH23.5 cm x B15.5 cm 1'870 g
CoverlagPhysica (Imprint/Brand)
ReiheStudies in Fuzziness and Soft Computing
VerlagSpringer Nature EN

Alle Bände der Reihe "Studies in Fuzziness and Soft Computing"

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