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Study Markov neural network by stochastic graph
Zhao, YL; Xi, GC; Yi, JQ; Wang, J; Liao, X; Yi, Z
2005
发表期刊ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS
卷号3496页码:552-557
文章类型Article
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
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000230166900088
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9121
专题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
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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.
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