Interactive Genetic Algorithm Based on the BP Neural Network Proxy Model

Authors

  • Yingchun Zhao Library of Criminal Investigation Police University of China, Shenyang 110035, China

Abstract

A proxy model based on the BP neural network is designed, and interactive genetic methods are used to solve the problem of input parameter selection
difficulty within the BP neural network. The global optimization capacity of the interactive genetic algorithm is used to address the issue that the BP
neural network is prone to falling into the trap of using a local minimum due to the random selection of the initial weight. The results of the experiment
verified that the BP neural network proxy model can perform self-learning of expert experience and can make intelligent predictions of occupational
competence.

Keywords: Prediction of Competence; BP Neural Network; Interactive Genetic Algorithm; Proxy Model

Cite As

Y. Zhao, "Interactive Genetic Algorithm Based on the BP Neural Network Proxy Model", Engineering
Intelligent Systems, vol. 29 no. 1, pp. 45-53, 2021.





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Published

2021-01-01

Issue

Vol. 29 No. 1 (2021): International Journal of Engineering Intelligent Systems

Section

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