Study Markov neural network by stochastic graph
文献类型:期刊论文
作者 | Zhao, YL![]() ![]() ![]() ![]() |
刊名 | ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS
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出版日期 | 2005 |
卷号 | 3496页码:552-557 |
英文摘要 | In this paper, the progress, human learns from the outside world by image and graph, is described by stochastic graph. Markov model is given for the learning process in neural network. Then a method of computation transition matrix is presented via energy function. Based on transition matrix, probability of state is computed and implemented to cognize the objective world by stochastic graph. By applying stochastic graph to the network of two neurons, it shows that states can transform between each other. Finally, the network updates to the state of the least energy. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
研究领域[WOS] | Computer Science |
收录类别 | ISTP ; SCI |
语种 | 英语 |
WOS记录号 | WOS:000230166900088 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/9121] ![]() |
专题 | 自动化研究所_09年以前成果 |
作者单位 | Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, YL,Xi, GC,Yi, JQ,et al. Study Markov neural network by stochastic graph[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS,2005,3496:552-557. |
APA | Zhao, YL,Xi, GC,Yi, JQ,Wang, J,Liao, X,&Yi, Z.(2005).Study Markov neural network by stochastic graph.ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS,3496,552-557. |
MLA | Zhao, YL,et al."Study Markov neural network by stochastic graph".ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS 3496(2005):552-557. |
入库方式: OAI收割
来源:自动化研究所
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