CASIA OpenIR  > 09年以前成果
A NEW MODEL OF FEEDFORWARD NEURAL NETWORKS
WANG, DX; TAI, JW
Source PublicationPHYSICS LETTERS A
1992-01-27
Volume162Issue:1Pages:41-44
SubtypeArticle
AbstractA new model of multilayer neural networks based on the back-propagation algorithm is presented. The network is a modified version of the STBP model, and employs an output layer with hard threshold function neurons; the model is very efficient; the learning speed can be improved. The model has an efficient ability to approximate any practical function, and is suitable for optical implementation.
WOS HeadingsScience & Technology ; Physical Sciences
Indexed BySCI
Language英语
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:A1992HE83200012
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21885
Collection09年以前成果
Recommended Citation
GB/T 7714
WANG, DX,TAI, JW. A NEW MODEL OF FEEDFORWARD NEURAL NETWORKS[J]. PHYSICS LETTERS A,1992,162(1):41-44.
APA WANG, DX,&TAI, JW.(1992).A NEW MODEL OF FEEDFORWARD NEURAL NETWORKS.PHYSICS LETTERS A,162(1),41-44.
MLA WANG, DX,et al."A NEW MODEL OF FEEDFORWARD NEURAL NETWORKS".PHYSICS LETTERS A 162.1(1992):41-44.
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