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» Variable selection using neural-network models
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PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
ECAL
1995
Springer
15 years 1 months ago
Evolving Artificial Neural Networks that Develop in Time
Although recently there has been an increasing interest in studing genetically-based development using Artificial Life models, the mapping of the genetic information into the phen...
Stefano Nolfi, Domenico Parisi
RAS
2000
116views more  RAS 2000»
14 years 9 months ago
Collision avoidance using a model of the locust LGMD neuron
The lobula giant movement detector (LGMD) system in the locust responds selectively to objects approaching the animal on a collision course. In earlier work we have presented a ne...
Mark Blanchard, F. Claire Rind, Paul F. M. J. Vers...
SIAMADS
2010
121views more  SIAMADS 2010»
14 years 4 months ago
Binocular Rivalry in a Competitive Neural Network with Synaptic Depression
We study binocular rivalry in a competitive neural network with synaptic depression. In particular, we consider two coupled hypercolums within primary visual cortex (V1), represent...
Zachary P. Kilpatrick, Paul C. Bressloff
NN
2002
Springer
208views Neural Networks» more  NN 2002»
14 years 9 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...