中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Abstract neural automata - Ergodicity of evolution of genetico-variable structure

文献类型:期刊论文

作者Xi, GC
刊名KYBERNETES
出版日期1999
卷号28期号:8-9页码:939-944
关键词neural networks cybernetics genetics evolution strategies
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Cybernetics
研究领域[WOS]Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000084137500006
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9786]  
专题自动化研究所_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.

入库方式: OAI收割

来源:自动化研究所

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