AB_5型贮氢合金P-C关系的人工神经网络研究

金属学报, 1996, 32(3): 333-33.

AB_5型贮氢合金P-C关系的人工神经网络研究

郭进 , 李重河 , 钦佩 , 曾文明 , 陈念贻

中国科学院上海冶金研究所

基金项目: 国家自然科学基金“８６３”资助

关键词：贮氢材料 , P-C relationship , artificial neural network

ARTIFICIAL NEURAL NETWORK METHOD APPLIED TO P-C RELATIONSHIPS OF AB_5-TYPE HYDROGEN STORAGE ALLOYS

GUO Jin , LI Chonghe , QIN Pei , ZENG Wenming , CHEN Nianyi(Shanghai Institute of Metallurgy

Keywords： : material of hydrogen storage , Ｐ－Ｃ关系 , 人工神经网络

本文利用人工神经网络方法研究了ＡＢ５型贮氢合金的Ｐ－Ｃ曲线、平台宽度和平台压力等，并取得了满意的结果，表明人工神经网络可用于贮氢材料的设计

Artificial Neural Network (ANN) has been used to find the regularities of the P-C curves,plateau width and plateau pressure of ABS5-type hydrogen storage alloys. The results of computerized prediction show the usefulness of this method for the materials design of hydrogen storage alloys. Correspondent: CHEN Nianyi, Shanghai Institute of Metallurgy, Chinese Academy of Sciences, Shanghai 200050

参考文献

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