Integration of magnified gradient function and weight evolution with deterministic perturbation into back-propagation

Sin Chun Ng, Chi Chung Cheung, Shu Hung Leung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

An approach for the improved performance of back-propagation (BP) learning systems, based on the integration of magnified gradient function and weight evolution with deterministic perturbation, was discussed. In this regard, the regression and character recognition problems were considered. The simulation results, in terms of the convergence rate and global convergence, showed that the integrated approach always outperformed other traditional methods.

Original languageEnglish
Pages (from-to)447-448
Number of pages2
JournalElectronics Letters
Volume39
Issue number5
DOIs
Publication statusPublished - 6 Mar 2003
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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