农机化研究Issue(2)：22-25,30,5.
基于改进 BP 神经网络的黑龙江农机总动力预测
Prediction of Total Power in Agriculture Machinery of Heilongjiang Based on An Improving Method o f BP Neural Network
摘要
Abstract
BP neural network plays a vital role in artificial neural networks.In this paper, through the analysis of the basic algorithm of standard BP neural network, and points out some shortcomings of the standard BP algorithm, to solve these problems we use a relative error as a new improved method of error transfer signal .The test proved that this method greatly improves the accuracy of BP neural network prediction, and this new and improved idea can also be applied to-gether with other improved methods to predict the computing speed and accuracy to a greater extent to improve BP neural network.关键词
农机总动力/预测/BP算法/相对误差Key words
total power of agriculture machinery/forecast/BP Neural Network/relative error分类
农业科技引用本文复制引用
马海志,王福林,王慧鹏,何志连..基于改进 BP 神经网络的黑龙江农机总动力预测[J].农机化研究,2016,(2):22-25,30,5.基金项目
国家社会科学基金项目 （）
