A NEW MODEL OF FEEDFORWARD NEURAL NETWORKS | |
WANG, DX; TAI, JW | |
刊名 | PHYSICS LETTERS A
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1992-01-27 | |
卷号 | 162期号:1页码:41-44 |
文献子类 | Article |
英文摘要 | A 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研究方向 | Physics |
语种 | 英语 |
WOS记录号 | WOS:A1992HE83200012 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/21885] ![]() |
专题 | 自动化研究所_09年以前成果 |
推荐引用方式 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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