自组织神经树用于判别氟化物非晶态形成条件  

An Application of Self-organization Neural Network Tree to the Discrimination of Amorphous State of Trinary Fluoride

作　　者：蔡煜东[1] 许伟杰[1] 陈念贻[1] 

机构地区：[1]中国科学院上海冶金研究所,上海200050

出　　处：《物理化学学报》1995年第7期642-645,共4页Acta Physico-Chimica Sinica

摘　　要：In this paper, the self-organization neural network tree is presented to discriminate the amorphous state of trinary fluoride on the basis of some chemical bond parameters. And the computer intelligence expert system is built. The successful rate is high. The results indicates that the performance of the neural network method is good,and therefore it might be referred as an effective supplementary technique for the discrimination of amorphous state of compounds.In this paper, the self-organization neural network tree is presented to discriminate the amorphous state of trinary fluoride on the basis of some chemical bond parameters. And the computer intelligence expert system is built. The successful rate is high. The results indicates that the performance of the neural network method is good,and therefore it might be referred as an effective supplementary technique for the discrimination of amorphous state of compounds.

关 键 词：氟化物 非晶态 神经网络 

分 类 号：O613.41[理学—无机化学]