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» Optimizing number of hidden neurons in neural networks
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GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
14 years 7 days ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
ICANN
2005
Springer
14 years 16 days ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter
ICANN
2007
Springer
14 years 1 months ago
Neurotransmitter Fields
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...
Douglas S. Greer
IJCNN
2000
IEEE
13 years 11 months ago
Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization
Angel Mediavilla, Antonio Tazón, J. A. Pere...
ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
14 years 18 days ago
Back propagation learning of neural networks with chaotically-selected affordable neurons
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
Yoko Uwate, Yoshifumi Nishio