Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm

K. F. Leung, H. K. Lam, Hung Fat Frank Leung, P. K S Tam

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

1 Citation (Scopus)

Abstract

This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By producing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by the genetic algorithm (GA) with arithmetic grossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed several network will be shown.
Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
Pages2487-2492
Number of pages6
Publication statusPublished - 1 Jan 2002
Event2002 International Joint Conference on Neural Networks (IJCNN'02) - Honolulu, HI, United States
Duration: 12 May 200217 May 2002

Conference

Conference2002 International Joint Conference on Neural Networks (IJCNN'02)
Country/TerritoryUnited States
CityHonolulu, HI
Period12/05/0217/05/02

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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