The Prediction on Initial Discharge Capacity of AB5-Based Alloy with Simulated Annealing

Liu Yang; Wu Feng

doi:10.2320/matertrans.45.1535

MATERIALS TRANSACTIONS

Online ISSN : 1347-5320
Print ISSN : 1345-9678
ISSN-L : 1345-9678

The Prediction on Initial Discharge Capacity of AB₅-Based Alloy with Simulated Annealing

Liu Yang, Wu Feng

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Keywords: AB₅-based alloy, artificial neural network, simulated annealing, cooling schedule, gradient-descent

JOURNAL FREE ACCESS

2004 Volume 45 Issue 5 Pages 1535-1538

DOI https://doi.org/10.2320/matertrans.45.1535

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Abstract

The prediction for initial discharge capacity of AB₅-based alloy has tested by employing the simulated annealing method in artificial neural network (ANN). The parameters in cooling schedule were determined and their influences on network prediction performance were discussed. A practical cooling schedule was established and the network with better performances was obtained by associating simulated annealing algorithm with gradient descent algorithm.

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