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Abstract neural automata - Ergodicity of evolution of genetico-variable structure
Xi, GC
1999
发表期刊KYBERNETES
卷号28期号:8-9页码:939-944
文章类型Article
摘要The theory of abstract neural automata has been proposed previously. Believes that in studying change of the structure of abstract neural automata, genetico-variable structure must be considered. Abstract neural automata are considered to be cognizant machines, machines of thought The basic effect an cognition and on the thought of heredity, such as genes is considered to be important in this discussion Following the proof of the theorem of existence of abstract neural automata whose state space of single neuron (stochastic automaton) is Euclidean space E-d, the theorem of ergodicity of evolutionary process of genetico-variable structure of abstract neural automata is proved.
关键词Neural Networks Cybernetics Genetics Evolution Strategies
WOS标题词Science & Technology ; Technology
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Cybernetics
WOS记录号WOS:000084137500006
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9786
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
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GB/T 7714
Xi, GC. Abstract neural automata - Ergodicity of evolution of genetico-variable structure[J]. KYBERNETES,1999,28(8-9):939-944.
APA Xi, GC.(1999).Abstract neural automata - Ergodicity of evolution of genetico-variable structure.KYBERNETES,28(8-9),939-944.
MLA Xi, GC."Abstract neural automata - Ergodicity of evolution of genetico-variable structure".KYBERNETES 28.8-9(1999):939-944.
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