A Genetic Algorithm Based Neural-Tuned Neural Network

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

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

5 Citations (Scopus)


This paper presents a neural-tuned neural network, which is trained by genetic algorithm (GA). The neural-tuned neural network consists of a neural network and a modified neural network. In the modified neural network, a neuron model with two activation functions is introduced. Some parameters of these activation functions will be tuned by neural network. The proposed network structure can increase the search space of the network and gives better performance than traditional feed-forward neural networks. Some application examples are given to illustrate the merits of the proposed network.
Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
Number of pages6
Publication statusPublished - 1 Dec 2003
EventThe 29th Annual Conference of the IEEE Industrial Electronics Society - Roanoke, VA, United States
Duration: 2 Nov 20036 Nov 2003


ConferenceThe 29th Annual Conference of the IEEE Industrial Electronics Society
Country/TerritoryUnited States
CityRoanoke, VA


  • Genetic Algorithm
  • Neural Network
  • Pattern Recognition
  • Sunspot Forecasting

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'A Genetic Algorithm Based Neural-Tuned Neural Network'. Together they form a unique fingerprint.

Cite this