侯方博,陶元红

• 1:吉林农业科技学院
• 2:延边大学理学院

摘要(Abstract)：

针对以往汽车部件企业在生产配置规划过程中,一直存在建模不准确及配置规划耗时长的问题,提出基于BP神经网络法的汽车部件企业生产配置最优规划数学模型。构建了基于BP神经网络分配的汽车部件企业生产配置最优规划数学模型。在对汽车部件企业生产配置进行批量分析的基础上,对汽车部件企业生产配置进行分配,通过BP神经网络法对汽车部件企业生产配置进行规划,结合企业生产配置的整体生产量,构建汽车部件企业生产配置最优规划数学模型。实验结果表明:采用改进建模方法时,其相比非线性建模方法建模准确率提高约41.91%,相比动态建模方法提高9.31%;在建模耗时方面,改进建模方法相比非线性建模方法缩短约172.2 s,相比动态建模方法缩短约123.9 s,具有一定的优势。

关键词(KeyWords)： 汽车部件企业;生产配置;数学模型;最优规划;BP神经网络;建模方法

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(11761073);; 吉林农业科技学院横向课题项目(900052018009)~~

作者(Author): 侯方博,陶元红

DOI: 10.16652/j.issn.1004-373x.2018.22.043

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