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Study Markov neural network by stochastic graph
Zhao, YL; Xi, GC; Yi, JQ; Wang, J; Liao, X; Yi, Z
Source PublicationADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS
2005
Volume3496Pages:552-557
SubtypeArticle
AbstractIn 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 HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000230166900088
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9121
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
Recommended Citation
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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