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）分类训练建模，在此基础上设计了若干样本，通过人工神经网络预报。
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.
出处
《中国稀土学报》
CAS
CSCD
北大核心
1996年第4期365-368,共4页
Journal of the Chinese Society of Rare Earths
关键词
模式识别
人工神经网络
镧镍电极
电池
燃料电池
Pattern recognition, Artificial neural network, Rare erath battery cathode, Aided design
