| 模式识别辅助镧镍电极的设计 |
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| 引用本文： | 康德山,王学业.模式识别辅助镧镍电极的设计[J].中国稀土学报,1996,14(4):365-368. |
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| 作者姓名： | 康德山 王学业 |
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| 作者单位： | 中国科学院上海冶金研究所 |
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| 摘 要： | 应用模式识别和人工神经网络方法将已知样本按目标（稀土系镍氢电池容量和循环寿命）分类识别建模，在此基础地若干样本，通过人工神经网络预报，电池容量和循环寿命都达到设计要求。
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| 关 键 词： | 模式识别 人工神经网络 镧镍电极 电池 燃料电池 |
Computer Aided Design on La-Ni Cathode Materials by Pattern Recognition |
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| Kang Deshan,Wang Xueye,Chen Nianyi.Computer Aided Design on La-Ni Cathode Materials by Pattern Recognition[J].Journal of the Chinese Rare Earth Society,1996,14(4):365-368. |
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| Authors: | Kang Deshan Wang Xueye Chen Nianyi |
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| Abstract: | athematical models of the capacity and specific capacity of rare earth Ni-H battery had been obtained by using artificial neural network and pattern recognition. Based on the models, 5 saples were designed, and the predicted values of the two properties accorded with the experimental results. |
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| Keywords: | Pattern recognition Artificial neural network Rare erath battery cathode Aided design |
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