Through improving standard BP algorithm,this paper proposes a kind of L-M Bayesian regularization optimization algorithm and applies this algorithm to the prediction of Chengdu resident consumption level.Experiment shows that BP neural network of L-M Bayesian regulaarization hais stronger generalization than another two kinds of improved algorithms under the same condition and has better forecasting effect on resident consumption level.