Gain estimation for an AC power line data network transmitter using a self-structured neural network and genetic algorithm

H. K. Lam, S. H. Ling, Hung Fat Frank Leung, P. K.S. Tam, Y. S. Lee

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents the estimation of the transmission gain for the AC power line data network in an intelligent home. The estimated gain ensures the transmission reliability and efficiency. A neural network with link switches is proposed to perform the estimation. Genetic algorithm with arithmetic- crossover and non-uniform mutation is employed to tune the parameters and the structure of the proposed neural network. An application example will be given.
Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
Pages1926-1929
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2002
EventProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society - Sevilla, Spain
Duration: 5 Nov 20028 Nov 2002

Conference

ConferenceProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society
CountrySpain
CitySevilla
Period5/11/028/11/02

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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