摘要
简述了人工神经网络的主要特点和最常用的类型———误差反向传递网络 (BP网络 ) ,将人工神经网络在化学中的应用分为 7个方面 :过程控制与故障检测、蛋白质结构预测、谱图分析、优化问题、化学反应产物及产率的预测、定量构效关系、模式识别 ,并分别讨论了人工神经网络模型算法研究的基本情况。
The main characteristicof Artificial Neural Network and themost in common used type——back-propagation algorithm is described brieflyin this paper. Application in process control and failurediagnosis, protein structures prediction, spectrumanalysis, optimization design, chemical reaction productsprediction, structure-activity/property relationship, and pattern recognition are summarized.
出处
《皮革科学与工程》
CAS
2003年第4期26-30,59,共6页
Leather Science and Engineering
