Abstract
in order to solve the problem which standard BP algorithm didnt have a good prediction accuracy for testing samples, a L-M Bayesian regularization algorithm was proposed by improved standard BP algorithm and applied to predict the resident consumption level of Cheng du. The experimental results show the L-M Bayesian regularization algorithm neural network has a higher accuracy, a more stable performance and a stronger generalization ability than another two improved algorithms in the same conditions and has a very good effect for the forecast of resident consumption level.
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