摘要
本文将前馈多层神经网络用于水滑石电缆阻燃剂制备的研究。从获得的试验数据中 ,通过训练建立了原料添加量与最终制备得的水滑石纯度的非线性映射模型。神经网络采用 BP算法 ,网络结构采用 3- 2 - 1形式。结果表明 。
In this paper,the feed forward multilayer neural network is used in the study of the artificial synrthetic hydrotalcite.A non linear prediction model for the purity of the artificial synthetic hydrotalcite under varied adding raw material was established based on BP(back propagation)algorithm with 3-2-1 structure.And the result shows that it is possible to predict the purity of the artifical synthetic hydrotalcite with the neural network.
出处
《绝缘材料》
CAS
北大核心
2002年第3期7-9,共3页
Insulating Materials
基金
西安交通大学行动计划资助项目
