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Abstract neural automata on compact Riemannian manifold
Xi, GC
Source PublicationKYBERNETES
AbstractBy means of topological conjugate transformation, the previous theory of abstract neural automata (ANA) on d-dimensional (d greater than or equal to 1) integer lattice is extended to compact Riemannian manifold This paper points out emphatically that intelligence ofANA is related to the geometrical features. The greater the volume of relative plane, the stronger the intelligence; curved Riemannian manifold (X) over tilde configuration space of ANA are locally flat such that the cognitive process of NAN Emits the Gibbs' probability measure for a sufficiently small time i. e. the cognitive process of ANA can determine the solution in a sufficiently small time the problem. This hypothesis was supported by studying the human brain, in particular by studying Einstein's brain.
KeywordCybernetics Neural Nets Intelligence
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Cybernetics
WOS IDWOS:000186599000022
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China
Recommended Citation
GB/T 7714
Xi, GC. Abstract neural automata on compact Riemannian manifold[J]. KYBERNETES,2003,32(9-10):1540-1548.
APA Xi, GC.(2003).Abstract neural automata on compact Riemannian manifold.KYBERNETES,32(9-10),1540-1548.
MLA Xi, GC."Abstract neural automata on compact Riemannian manifold".KYBERNETES 32.9-10(2003):1540-1548.
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