摘要
人工神经网络因其具有较强处理不确定性或高度非线性控制对象的能力,被广泛应用于化学领域。文章综述了人工神经网络的原理及分类,并以化工质量控制的三个阶段为基础,对人工神经网络在各阶段的应用进行了探讨。
Artificial Neural Networks （ANN） is widely used in the chemical field because it is strong capable of dealing with uncertainty or highly nonlinear control object. In the paper, it reviews the principles and classification of ANN and its application in three stages of chemical quality control.
出处
《广东化工》
CAS
2014年第14期141-141,147,共2页
Guangdong Chemical Industry
关键词
人工神经网络
化工
质量控制
artificial neural networks
chemical industry
quality control
