摘要
本文将 BP神经网络理论应用于产品成本的预测 ,在与目前常用的其它成本预测方法进行比较后 ,指出了用神经网络进行产品成本预测的优势 ,讨论了网络的结构设计、学习算法等问题 ,并给出计算实例 。
By applying the theory of neural networks into the product cost prediction,this paper discuss the problems of designing and training of neural netwoks after compared with other methods in popularity. Experimental results are presented to show the effectiveness of the method and responsibility to the fact.
出处
《管理工程学报》
CSSCI
2000年第4期61-64,共4页
Journal of Industrial Engineering and Engineering Management
基金
国家 8 63/ CIMS主题应用基础研究课题!( 863-51 1 -984 5-0 0 9)