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Improved Neural Network Prediction on Electrochemistry Properties of AB_5-Based Alloy

Improved Neural Network Prediction on Electrochemistry Properties of AB_5-Based Alloy
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摘要 A traditional neural network was improved in two ways. An improved algorithm is associated into the network in order to enhance the optimization rate and predictability of the network. Two different methods were supplied to improve the generalization of the network. With this improved neural network, the properties of the AB_5-based hydrogen-storage alloys, the initial discharge capacity and capacity retention ratios after charge-discharge cycles, were predicted. A better prediction result was obtained by using the network. A traditional neural network was improved in two ways. An improved algorithm is associated into the network in order to enhance the optimization rate and predictability of the network. Two different methods were supplied to improve the generalization of the network. With this improved neural network, the properties of the AB_5-based hydrogen-storage alloys, the initial discharge capacity and capacity retention ratios after charge-discharge cycles, were predicted. A better prediction result was obtained by using the network.
作者 刘杨 吴锋
出处 《Journal of Rare Earths》 SCIE EI CAS CSCD 2004年第S1期134-138,共5页 稀土学报(英文版)
基金 NationalResearchFundforFundamentalKeyProject 973 (2 0 0 2CB2 1180 0 )
关键词 back propagation network LEVENBERG-MARQUARDT GENERALIZATION AB_5-based alloy property prediction back propagation network Levenberg-Marquardt generalization AB_5-based alloy property prediction
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