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» Designing Neural Networks Using Gene Expression Programming
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ICES
2003
Springer
108views Hardware» more  ICES 2003»
14 years 1 months ago
A Morphogenetic Evolutionary System: Phylogenesis of the POEtic Circuit
Abstract. This paper describes a new evolutionary mechanism developed specifically for cellular circuits. Called morphogenetic system, it is inspired by the mechanisms of gene exp...
Daniel Roggen, Dario Floreano, Claudio Mattiussi
ICANN
2007
Springer
14 years 1 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
ASPDAC
1998
ACM
81views Hardware» more  ASPDAC 1998»
14 years 21 hour ago
A Heuristic Algorithm to Design AND-OR-EXOR Three-Level Networks
—An AND-OR-EXOR network, where the output EXOR gate has only two inputs, is one of the simplest three-level architecture. This network realizes an EXOR of two sum-of-products exp...
Debatosh Debnath, Tsutomu Sasao
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 11 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 2 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria