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.
出处
《物理化学学报》
SCIE
CAS
CSCD
北大核心
1995年第7期642-645,共4页
Acta Physico-Chimica Sinica
关键词
氟化物
非晶态
神经网络
Fluoride, Amorphous state, Neural network
