New Learning Paradigms in Soft Computing:

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 techno...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Jain, L. C. 1946- (HerausgeberIn), Kacprzyk, Janusz 1947- (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Heidelberg Physica-Verlag HD 2002
Schriftenreihe:Studies in Fuzziness and Soft Computing 84
Schlagworte:
Online-Zugang:BTU01
FHI01
Volltext
Zusammenfassung: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
Beschreibung:1 Online-Ressource (XII, 464 p)
ISBN:9783790818031
DOI:10.1007/978-3-7908-1803-1

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand! Volltext öffnen