基于BP神经网络的成本预测

Cost Estimation Based on BP Neural Network

分析了人工神经网络解决成本预测的可能性。介绍了BP神经网络用于非线性预测的基本原理和算法步骤。采用matlab试验方法,对某企业总产量与总成本进行仿真,对比了回归分析法和BP神经网络的预测结果。实验结果表明,BP神经网络预测算法具有较高的预测精度。

In this paper, the possibility of cost estimation resolved by artificial neural networks is analyzed. Then the basic principle and the algorithm step of BP neural network in the non-linear forecast are introduced. With the using of matlah testing method, it carries on the simulation to the total output and resulting cost in some enterprises; forecast results between the regression analysis method and the BP nerve network are contrasted. The experimental results indicate that the algorithm of BP nerve network forecast has the higher forecast precision.