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» Removing the Genetics from the Standard Genetic Algorithm
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ICEC
1994
70views more  ICEC 1994»
14 years 11 months ago
Evolving Synaptic Connections for a Silicon Neuromorph
Our VLSI neuromorphs, possess extensive dendritic trees with hundreds of excitatory and inhibitory synaptic sites. Useful signal processing can be achieved by evolving the appropr...
David P. M. Northmore, John G. Elias
BC
2005
63views more  BC 2005»
14 years 9 months ago
Detecting chaotic structures in noisy pulse trains based on interspike interval reconstruction
The nonlinear prediction method based on the interspike interval (ISI) reconstruction is applied to the ISI sequence of noisy pulse trains and the detection of the deterministic st...
Takashi Kanamaru, Masatoshi Sekine
BMCBI
2005
144views more  BMCBI 2005»
14 years 9 months ago
GeneRank: Using search engine technology for the analysis of microarray experiments
Background: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the t...
Julie L. Morrison, Rainer Breitling, Desmond J. Hi...
NPL
2000
138views more  NPL 2000»
14 years 9 months ago
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...
TEC
2008
98views more  TEC 2008»
14 years 9 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...