中空纤维镍基板及电极研究中模式识别的应用  

Application of pattern recognition in the study of hollow fibrous nickel substrate and nickel hydroxide electrode

作　　者：李钒[1] 张登君[1] 张慧 李报厚[1] 唐清[1] 张冠东[1] 

机构地区：[1]中国科学院化工冶金研究所

出　　处：《电源技术》1999年第A03期87-90,105,共5页Chinese Journal of Power Sources

摘　　要：应用统计模式识别优化中空纤维镍基板和电极材料的制备工艺参数，找到了目标优化区，并用不同的处理方法（ＰＣＡ和ＫＮＮ方法）和实验结果进行了验证，结果一致，相互吻合，证实了模式识别在研究和制备中空纤维镍基板和电极材料中应用是可行的。The statistical pattern recognition(PCA and KNN methods) is used in dealing with the parameter of preparation of hollow nickel fibrous substrate and nickel hydroxide electrode materials.The “Target Area” had been indicated and verified by two different calculation methods and experiment results.So the pattern recognition is feasible in optimizing parameters of preparation of hollow nickel fibrous substrate and nickel hydroxide electrode materials.

关 键 词：中空纤维镍基板 碱性蓄电池 电极 模式识别 

分 类 号：TM912.203[电气工程—电力电子与电力传动] TP391.4[自动化与计算机技术—计算机应用技术]