The cycle life prediction of Mg-based hydrogen storage alloys by artificial neural network

International Journal of Hydrogen Energy

Volumn 34, Issue 4, 2009, Pages 1931-1936

  Tian, Qifeng ^a,c   Zhang, Yao ^b   Wu, Yuanxin ^a   Tan, Zhicheng ^b  

^a WUHAN INSTITUTE OF TECHNOLOGY   (China)

^b DALIAN INSTITUTE OF CHEMICAL PHYSICS   (China)

^c DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Artificial neural network; Cycle life; Mg based hydrogen storage alloys

Indexed keywords

ALLOYS; BACKPROPAGATION; CATHODES; CERIUM; CERIUM COMPOUNDS; CHROMIUM; FATIGUE OF MATERIALS; HYDROGEN; HYDROGEN STORAGE; LIFE CYCLE; LITHIUM BATTERIES; METALLIC COMPOUNDS; NEURAL NETWORKS; NICKEL; NONMETALS; PALLADIUM; STORAGE (MATERIALS);

ARTIFICIAL NEURAL NETWORK; CATHODE MATERIALS; CHARGE-DISCHARGE CYCLES; CYCLE LIFE; DISCHARGE CAPACITIES; DISCHARGE CYCLES; ELEMENT SUBSTITUTIONS; EXPERIMENTAL VALUES; HIGH PRECISION; MG-BASED HYDROGEN STORAGE ALLOYS; NETWORK MODELS; NI ALLOYS; TEST PROCESS;

HYDROGEN STORAGE ALLOYS;

EID: 59649089301     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2008.11.077     Document Type: Article

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