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» A Note on Learning and Evolution in Neural Networks
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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 11 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
IJCNN
2007
IEEE
14 years 1 months ago
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning
— In this paper we provide experimental results and extensions to our previous theoretical findings concerning the combination of forecasts that have been diversified by three ...
Silvia Riedel, Bogdan Gabrys
NN
2002
Springer
119views Neural Networks» more  NN 2002»
13 years 6 months ago
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP
In this paper we introduce novel geometric concepts, namely category regions, in the original framework of Fuzzy-ART (FA) and FuzzyARTMAP (FAM). The definitions of these regions a...
Georgios C. Anagnostopoulos, Michael Georgiopoulos
ICES
2003
Springer
108views Hardware» more  ICES 2003»
13 years 12 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
ISCI
2000
92views more  ISCI 2000»
13 years 6 months ago
Quantum associative memory
This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum lev...
Dan Ventura, Tony R. Martinez