吉林大学学报(工学版) ›› 2001, Vol. ›› Issue (3): 70-73.

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Factor Analysis Based on Genetic Algorithm and Artificial Neural Network

DONG Li-yan1, LI Yong-li2, SHI Jing-rong3, YAO Jian-hui 1   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. Dept of Computer Science and Technology, Northeast Normal University, Changchun 130025, China;
    3. Dept of Automation, Jilin Institute of Chemical Engineering, Jilin 132022, China
  • Received:2001-01-12 Online:2001-07-25

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Abstract: This dissertation presents GA-GRNN algorithm for factor analysis,based on the theories of Genetic Algorithm and Artificial Neural Network.The idea of this method is to decide the importance of the parameter based on the trend of evolution of the parameter individually.The principle,feasibility and the experiment evaluation are discussed.The conclusion is proved by the experiments.

Key words: Genetic Algorithm, Generalized Regress Neural Network, factor analysis, evolution

CLC Number: 

  • TP18
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