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Deterministic Learning Theory for Identification, Recognition, and Control

By: Cong Wang (Author) , China) Hill David J. (University of Hong Kong (Author) , USA) Lewis Frank L. (The University of Texas at Arlington (Author)

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Ksh 45,600.00

Format: Hardback or Cased Book

ISBN-13: 9780849375538

Publisher: Taylor & Francis Inc

Publication Date: Jul 21st, 2009

Weight: 508 grams

Dimension: 24.30 x 16.40 x 2.00 cms

Category: Expert systems / knowledge-based systems

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Provides systematic design approaches for the identification, control, and recognition of nonlinear systems in uncertain environments. This book introduces the concepts of deterministic learning theory and then discusses the persistent excitation property of RBF networks.

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