用神经网络法鉴别十二碳共轭双烯-1-醇、醛和乙酸酯双键位置异构体

将神经网络运用到十二碳双烯-1-醇、醛、乙酸酯三类化合物及其双键位置异构体的识别预报上,本文报道这一工作的主要结果.

The identification of conjugated bond positional isomers of dodecadienic compounds by neural networks

The software to identify dodecadienic alcs., aldehydes, acetetes and their double bond positions by neural networks was developed, with which a group of samples were studied. The results indicate the reliability of neural networks. As compared with the fuzzy method, the neural networks method is better.