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ICTAI
2009
IEEE
14 years 4 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
ASPDAC
1999
ACM
60views Hardware» more  ASPDAC 1999»
14 years 2 months ago
Timing Optimization of Logic Network Using Gate Duplication
We present a timing optimization algorithm based on the concept of gate duplication on the technologydecomposed network. We first examine the relationship between gate duplication...
Chun-hong Chen, Chi-Ying Tsui
SEMWEB
2004
Springer
14 years 3 months ago
GridVine: Building Internet-Scale Semantic Overlay Networks
Abstract. This paper addresses the problem of building scalable semantic overlay networks. Our approach follows the principle of data independence by separating a logical layer, th...
Karl Aberer, Philippe Cudré-Mauroux, Manfre...
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
13 years 8 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...