Study Markov neural network by stochastic graph

CASIA OpenIR > 09年以前成果

	Study Markov neural network by stochastic graph
	Zhao, YL; Xi, GC; Yi, JQ; Wang, J; Liao, X; Yi, Z
发表期刊	ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS
	2005
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
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.