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Factor Neural Network Theory and Its Applications

Author

Listed:
  • Ye Wang

    (School of Automation and Electrical Engineering, University of Science & Technology, Beijing 100088, China)

  • Lotfollah Najjar

    (College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182-0392, USA)

Abstract

This paper presents constructive methods of factor neural network (FNN) and their applications to the study of intelligent computation. Liu Zengliang is the first to apply this theory it to intelligent computation, it allows describing numerically and simulating such intelligence problems as knowledge representation, fuzzy reasoning and intelligent learning. It provides a unified description framework for logical and visual (intelligent) thinking. This theory makes significant progress in exhibiting the intelligence science theorem, the academic view and the research approach of FNN. It motivates the development of intelligence science and other related fields. It also helps the development of the nation's economy.

Suggested Citation

  • Ye Wang & Lotfollah Najjar, 2015. "Factor Neural Network Theory and Its Applications," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 239-251.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:02:n:s0219622015500042
    DOI: 10.1142/S0219622015500042
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