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» Analog Computation Via Neural Networks
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AMC
2008
99views more  AMC 2008»
13 years 7 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
ICIC
2007
Springer
14 years 1 months ago
Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
Julio César Tovar, Wen Yu, Xiaoou Li
BMCBI
2007
162views more  BMCBI 2007»
13 years 7 months ago
Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
IJCNN
2006
IEEE
14 years 1 months ago
Modeling Cortical Maps with Feed-Backs
Abstract— High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link “what is to be done” (perceptual task) with “...
Thierry Viéville, Pierre Kornprobst
NN
2002
Springer
105views Neural Networks» more  NN 2002»
13 years 7 months ago
The computational role of dopamine D1 receptors in working memory
The prefrontal cortex (PFC) is essential for working memory, which is the ability to transiently hold and manipulate information necessary for generating forthcoming action. PFC n...
Daniel Durstewitz, Jeremy K. Seamans