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» A Comparison of Genetic Network Models
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IJON
2006
76views more  IJON 2006»
14 years 9 months ago
Evolving networks of integrate-and-fire neurons
This paper addresses the following question: ``What neural circuits can emulate the monosynaptic correlogram generated by a direct connection between two neurons?'' The ...
Francisco J. Veredas, Francisco J. Vico, Jos&eacut...
ESWA
2006
154views more  ESWA 2006»
14 years 9 months ago
Artificial neural networks with evolutionary instance selection for financial forecasting
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
Kyoung-jae Kim
ICASSP
2011
IEEE
14 years 1 months ago
Extensions of recurrent neural network language model
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
Tomas Mikolov, Stefan Kombrink, Lukas Burget, Jan ...
IJON
2002
72views more  IJON 2002»
14 years 9 months ago
Modeling large cortical networks with growing self-organizing maps
Self-organizing computational models with specific intracortical connections can explain many features of visual cortex. However, due to their computation and memory requirements,...
James A. Bednar, Amol Kelkar, Risto Miikkulainen
IJCNN
2000
IEEE
15 years 2 months ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger