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» Designing Neural Networks Using Gene Expression Programming
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DATE
2003
IEEE
114views Hardware» more  DATE 2003»
14 years 1 months ago
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Simona Doboli, Gaurav Gothoskar, Alex Doboli
INFORMATICALT
2007
123views more  INFORMATICALT 2007»
13 years 7 months ago
Design and Implementation of Parallel Counterpropagation Networks Using MPI
The objective of this research is to construct parallel models that simulate the behavior of artificial neural networks. The type of network that is simulated in this project is t...
Athanasios Margaris, Stavros Souravlas, Efthimios ...
BMCBI
2010
162views more  BMCBI 2010»
13 years 5 months ago
SNPexp - A web tool for calculating and visualizing correlation between HapMap genotypes and gene expression levels
Background: Expression levels for 47294 transcripts in lymphoblastoid cell lines from all 270 HapMap phase II individuals, and genotypes (both HapMap phase II and III) of 3.96 mil...
Kristian Holm, Espen Melum, Andre Franke, Tom H. K...
ICASSP
2009
IEEE
14 years 2 months ago
Robust cross-race gene expression analysis
This paper develops a Bayesian network (BN) predictor to profile cross-race gene expression data. Cross-race studies face more data variability than single-lab studies. Our desig...
Hsun-Hsien Chang, Marco Ramoni
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 1 months ago
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
Emily M. Zechman, S. Ranji Ranjithan