中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improvement of cascade correlation learning algorithm with an evolutionary initialization

文献类型:期刊论文

作者Liang HL(梁化楼); Dai GL(戴贵亮); Liang, HL; Dai, GL
刊名INFORMATION SCIENCES
出版日期1998
卷号112期号:1-4页码:1-6
通讯作者Liang, HL (reprint author), Chinese Acad Sci, Inst High Energy Phys, Ctr Comp, POB 9187, Beijing 100039, Peoples R China.
英文摘要Cascade Correlation (CC) as a constructive algorithm for artificial neural networks stands out for solving hard classification problems. In this note we propose an extension of this technique that uses genetic algorithm for finding a good initialization point and yields improved results. The performance of our method is demonstrated on benchmark problems. (C) 1998 Published by Elsevier Science Inc. All rights reserved.
学科主题Computer Science
类目[WOS]Computer Science, Information Systems
收录类别SCI
WOS记录号WOS:000077048100001
公开日期2016-05-03
源URL[http://ir.ihep.ac.cn/handle/311005/225438]  
专题高能物理研究所_计算中心
推荐引用方式
GB/T 7714
Liang HL,Dai GL,Liang, HL,et al. Improvement of cascade correlation learning algorithm with an evolutionary initialization[J]. INFORMATION SCIENCES,1998,112(1-4):1-6.
APA 梁化楼,戴贵亮,Liang, HL,&Dai, GL.(1998).Improvement of cascade correlation learning algorithm with an evolutionary initialization.INFORMATION SCIENCES,112(1-4),1-6.
MLA 梁化楼,et al."Improvement of cascade correlation learning algorithm with an evolutionary initialization".INFORMATION SCIENCES 112.1-4(1998):1-6.

入库方式: OAI收割

来源:高能物理研究所

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