摘要
用人工神经网络方法研究熔盐相图中间相的组成、熔点和同分熔化或异分熔化等规律．研究结果可用于未知相图中间相的计算机预报．
Artificial neural network is a new type ofinfonnation processing system based on modelling the neural system structure of human brain. Together with chemical bond parameters, it can be used to extract useful information from the experimental data of molten salt phase diagrams.The semi-empirical rules found can be used for the computerized prediction of the stoichiometry, the melting or decomposition temperature, and the melting behavior(congruent or incongruent melting) of the intermediate phases in unknown molten saltphase diagrams.
出处
《金属学报》
SCIE
EI
CAS
CSCD
北大核心
1994年第1期B022-B026,共5页
Acta Metallurgica Sinica
基金
国家自然科学基金
关键词
人工神经网络
熔盐相图
中间相
artificial neural network
molten salt phase diagram
intermediate phase
