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Abstract neural automata on compact Riemannian manifold
Xi, GC
2003
发表期刊KYBERNETES
卷号32期号:9-10页码:1540-1548
文章类型Article
摘要By 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.
关键词Cybernetics Neural Nets Intelligence
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:000186599000022
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9910
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China
推荐引用方式
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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