Mathematical Theory and Applications ›› 2017, Vol. 37 ›› Issue (1): 61-66.

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Neural Network Weight-Threshold Optimization Method Based on LASSO

Huo Jianguang1, Ren Guizheng2, Yang yang1   

  1. 1.School of Mathematics and Computer Science,Changsha University of Science and Technology,Changsha 410114,China;

    2.School of Traffic and Transportation Engineering,Changsha University of Science and Technology,Changsha 410114,China

  • Online:2017-03-30 Published:2020-09-24

Abstract:

Based on the LASSO method and neural network,we establish a LASSO-BP algorithm.Compared with the BP neural network algorithm and the RBF algorithm,it has the advantages of time-consuming, strong anti-interference ability and  better effects on classification.Its effectiveness is verified by numerical experiments.

Key words: LASSO method, BP neural network, RBF neural network, Weight and threshold