Learning from Data: Concepts, Theory, and Methods

Authors:
Vladimir S. Cherkassky;Filip Mulier
Affiliations:
-;-
Venue:
Learning from Data: Concepts, Theory, and Methods
Year:
1998

Citing 0
Cited 140

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Abstract

From the Publisher:This is an interdisciplinary book on neural networks, statistics and fuzzy systems. A unique feature is the establishment of a general framework for adaptive data modeling within which various methods from statistics, neural networks and fuzzy logic are presented. Chapter summaries, examples and case studies are also included.[Includes companion Web site with ... Software for use with the book.