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
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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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