Fusion analysis of MH-Ni batteries characteristics by neural network data fusion method

Fusion analysis of MH-Ni batteries characteristics by neural network data fusion method

下载PDF

导出

摘要 Presents the fusion analysis of the charging and discharging characteristics of MH Ni batteries in wide applications by neural network data fusion method to generate a specific vector and the use of this specific vector for selection of MH Ni batteries, and the comparison of two results of selection. Presents the fusion analysis of the charging and discharging characteristics of MH Ni batteries in wide applications by neural network data fusion method to generate a specific vector and the use of this specific vector for selection of MH Ni batteries, and the comparison of two results of selection.

作者游林儒张晋格王炎

出处《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2001年第1期69-73,共5页 哈尔滨工业大学学报（英文版）

关键词 BATTERY neural network data fusion battery neural network data fusion

分类号 O621 [理学—有机化学]

引文网络
相关文献

参考文献3

1AJJMARANGSEE P,HUNTSBERGER T L.Neural network model for fusion of visible and infrared sensor outputs[].Proceedings of SPIE the International Society for Optical Engineering.1988
2SUNDERESHAN M K,AMOOZEGAR F.Neural network fusion capabilities for efficient implementation of tracking algorithms[].Optical Engineering.1997
3PERLOVSKY L I,MCMANUS MM.Maximum likelihood neural networks for sensor and adaptive classification[].Neural Networks.1991

1Industrial Applications of Batteries[J].Chinese Journal of Chemical Engineering,2008,16(4):639-639.
2Qinghua Cui,Yelong Zhang,Shunchao Ma,Zhangquan Peng.Li_2O_2 oxidation: the charging reaction in the aprotic Li-O_2 batteries[J].Science Bulletin,2015,60(14):1227-1234. 被引量：3
3Xuan Shao,Tao Zhang,Zhaoyin Wen.One Step Fabrication of Co3O4-PPy Cathode for Lithium-O2 Batteries[J].Chinese Journal of Chemistry,2017,35(1):35-40. 被引量：2
4Juan A. Lazzus.Neural Network Based on Quantum Chemistry for Predicting Melting Point of Organic Compounds[J].Chinese Journal of Chemical Physics,2009,22(1):19-26. 被引量：1
5Yu Quan ZOU,Qin Min PAN,Ling Zhi WANG,Shi Bi FANG.Preparation and Properties of Oxidized Graphite Anode Doped with Metal Ion for Lithium Ion Batteries[J].Chinese Chemical Letters,2001,12(8):733-736.
6REN Li1,2 & KONG Fanao1 1. State Key Laboratory of Molecular Reaction Dynamics, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100080, China,2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China Correspondence should be addressed to Kong Fanao (e-mail:Kong@ mrdlab.icas.ac.cn).Reaction of CH radical with O_2 by time-resolved FTIR spectroscopy[J].Chinese Science Bulletin,2003,48(12):1225-1229.
7邓凌峰,李新海,肖立新,张云河.Synthesis and electrochemical properties of polyradical cathode material for lithium second batteries[J].Journal of Central South University of Technology,2003,10(3):190-194. 被引量：2
8谈鹏,史维,赵天寿.What is the ideal distribution of electrolyte inside cathode pores of non-aqueous lithium–air batteries?[J].Science Bulletin,2015,60(10):975-976.
9程文龙,韩晓军,彭章泉,董绍俊,汪尔康.Investigation of Electrochemical Charging Behaviors of "Naked" Gold Nanoparticles Ensembles in Aqueous Media[J].Chinese Journal of Chemistry,2002,20(10):1031-1037. 被引量：1
10Mingming GENG (Dept. of Precision Alloy, Central Iron & Steel Research Institute, Beijing, 100081. China).Electrode Characteristics of MmNi_5-based Alloys for Nickel-Metal Hydride Batteries[J].Journal of Materials Science & Technology,1994,10(4):310-312.

Journal of Harbin Institute of Technology(New Series)

2001年第1期

浏览历史

内容加载中请稍等...

Fusion analysis of MH-Ni batteries characteristics by neural network data fusion method

参考文献3

相关作者

相关机构

相关主题

浏览历史