Structure approximate based on double weighted neural network
| Data(s) |
2007
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| Resumo |
Double weighted neural network; is a kind of new general used neural network, which, compared with BP and RBF network, may approximate the training samples with a move complicated geometric figure and possesses a even greater approximation. capability. we study structure approximate based on double weighted neural network and prove its rationality. Double weighted neural network; is a kind of new general used neural network, which, compared with BP and RBF network, may approximate the training samples with a move complicated geometric figure and possesses a even greater approximation. capability. we study structure approximate based on double weighted neural network and prove its rationality. zhangdi于2010-03-09批量导入 zhangdi于2010-03-09批量导入 [Cao, Wenming] Shenzhen Univ, Intelligent Informat Proc Key Lab, Shenzhen 518060, Peoples R China; [Liu, Singsng; Wang, Shoujue] Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China |
| Identificador | |
| Idioma(s) |
英语 |
| Publicador |
WATAM PRESS C/O DCDIS JOURNAL, 317 KAREN PLACE, WATERLOO, ONTARIO N2L 6K8, CANADA |
| Fonte |
Cao, WM ; Liu, SS ; Wang, SJ .Structure approximate based on double weighted neural network .见：WATAM PRESS .DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS,C/O DCDIS JOURNAL, 317 KAREN PLACE, WATERLOO, ONTARIO N2L 6K8, CANADA ,2007,14: 18-22 Part 1 Suppl |
| Palavras-Chave | #人工智能 #double weighted neural network |
| Tipo |
会议论文 |
