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Indexed by:期刊论文

Date of Publication:2011-01-01

Journal:NEURAL NETWORK WORLD

Included Journals:Scopus、SCIE、EI

Volume:21

Issue:1

Page Number:75-90

ISSN No.:1210-0552

Key Words:Complex-valued neural networks; split-complex backpropagation algorithm; convergence

Abstract:This paper investigates a split-complex backpropagation algorithm with momentum (SCBPM) for complex-valued neural networks. Convergence results for SCBPM are proved under relaxed conditions and compared with the existing results. Monotonicity of the error function during the training iteration process is also guaranteed. Two numerical examples are given to support the theoretical findings.