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» Introduction to artificial neural networks
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NIPS
2000
13 years 9 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
TKDE
2008
114views more  TKDE 2008»
13 years 7 months ago
Neural-Based Learning Classifier Systems
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Xin...
ICAISC
2004
Springer
14 years 1 months ago
Optimization of Centers' Positions for RBF Nets with Generalized Kernels
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
Ewaryst Rafajlowicz, Miroslaw Pawlak
BIOADIT
2004
Springer
14 years 1 months ago
Towards Cortex Sized Attractor ANN
We review the structure of cerebral cortex to find out the number of neurons and synapses and its modular structure. The organization of these neurons is then studied and mapped on...
Christopher Johansson, Anders Lansner
NPL
2000
88views more  NPL 2000»
13 years 7 months ago
Learning Synaptic Clusters for Nonlinear Dendritic Processing
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
Michael W. Spratling, Gillian Hayes