摘要: 用神经网络法预测有机物的物性,提出用主成分分析和回归分析的方法,求得输入参数,对有机物的正常沸点、临界温度、临界压力、临界体积、汽化焓、偏心因子等基础物性作了定量预测,估算精度可满足化工计算的要求。
中图分类号:
张向东,赵立群,张国义. 人工神经网络法预测有机物基础物性 [J]. CIESC Journal.
Zhang Xiangdong(Department of Chemistry,Liaoning University,Shenyang 110036)Zhao liqun and Zhang Guoyi(Department of Polymer Chemical Enginering ,Shenyang Institute of Chemical Technology,Shenyang 110021). PREDICTION OF PHYSICOCHEMICAL PROPERTIES OF ORGANIC COMPOUND BY NEURAL NETWORK[J]. .