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

Acta Metall Sin

1996, Vol. 32

Issue (3): 333-33 DOI:

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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; Chinese Academy of Sciences; Shanghai 200050) (Manuscript received 1995-06-23 ; in revised form; 1995-09- 15)

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GUO Jin; LI Chonghe; QIN Pei; ZENG Wenming; CHEN Nianyi(Shanghai Institute of Metallurgy; Chinese Academy of Sciences; Shanghai 200050) (Manuscript received 1995-06-23 ; in revised form; 1995-09- 15). ARTIFICIAL NEURAL NETWORK METHOD APPLIED TO P-C RELATIONSHIPS OF AB_5-TYPE HYDROGEN STORAGE ALLOYS. Acta Metall Sin, 1996, 32(3): 333-33.

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Abstract 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

Key words: material of hydrogen storage P-C relationship artificial neural network

Received: 18 March 1996

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https://www.ams.org.cn/EN/ OR https://www.ams.org.cn/EN/Y1996/V32/I3/333

1KuijersFAThesis,Delft,PhilipsRes．Rept,19732MiedemaAR．JLess-CommonMet,1973;32:1173MidedmaAR,BoomR,DeBocrFR．JLess-ConmmonMet,1975;41:2834陈念贻．键参数函数及其应用．北京:科学出版社,19765VanMalHH,BuschowKHJ,MiedemaAR．JLess-CommonMet,1974;35:65T

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