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RAOGA-Based Fuzzy Neural Network Model of Design Evaluation

  • Li-Hua Xue
  • Hong-Zhong Huang
  • Jun Hu
  • Qiang Miao
  • Dan Ling
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

This paper presents a new Fuzzy Neural Network (FNN) model to evaluate design alternatives in conceptual design. In the proposed method, a fuzzy reasoning based on feedforward neural network is used to evaluate concepts, and a learning algorithm based on ranking-based adaptive evolutionary operator genetic algorithm (RAOGA) is utilized to adjust fuzzy weights and thresholds with fuzzy inputs and outputs in FNN.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Li-Hua Xue
    • 1
    • 2
  • Hong-Zhong Huang
    • 1
  • Jun Hu
    • 1
  • Qiang Miao
    • 1
  • Dan Ling
    • 1
  1. 1.School of Mechatronics Eng., University of Electronic Science and Technology of China, Chengdu, Sichuan 610054China
  2. 2.School of Mechanical Eng., Dalian University of Technology, Dalian, Liaoning 116023China

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