摘要
简要介绍了人工神经网络的原理、特点、结构、发展历史及现状,着重总结了该方法在橡胶工业的机械设计、性能预测、配方优化等方面的应用情况,指出了前人研究成果的创新之处及现阶段存在的问题,并对人工神经网络在橡胶工业领域的发展趋势做了预测。
The principle, characteristics, struc- ture, historical and current situations of artificial neural networks were introduced briefly, the appli- cations of this method in mechanical design, prediction of performance, optimization of formulation and other aspects in rubber industry were emphasized with 46 references, the innovations in previous studies and the shortage in current researches were pointed out, and the trend of this method in rubber industry was predicted.
出处
《合成橡胶工业》
CAS
CSCD
北大核心
2012年第1期2-7,共6页
China Synthetic Rubber Industry
基金
国家自然科学基金资助项目(51073009)
关键词
人工神经网络
橡胶工业
性能预测
配方优化
artificial neural network
rubber industry
performance prediction
formula optimization
