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Abstract neural automata - Ergodicity of evolution of genetico-variable structure
Xi, GC
Source PublicationKYBERNETES
AbstractThe 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.
KeywordNeural Networks Cybernetics Genetics Evolution Strategies
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Cybernetics
WOS IDWOS:000084137500006
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Beijing, Peoples R China
Recommended Citation
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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