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» Modeling spiking neural networks
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IJCNN
2000
IEEE
14 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
KES
2006
Springer
13 years 10 months ago
Neural Network Classification of Diesel Spray Images
This paper describes an evaluation of a neural network technique for modelling fuel spray penetration in the cylinder of a diesel internal combustion engine. The model was implemen...
Simon D. Walters, Shaun H. Lee, Cyril Crua, Robert...
NPL
2006
137views more  NPL 2006»
13 years 10 months ago
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Chih-Ming Chen, Yung-Feng Lu, Chin-Ming Hong
NN
1998
Springer
13 years 9 months ago
Multiple cusp bifurcations
The cusp bifurcation provides one of the simplest routes leading to bistability and hysteresis in neuron dynamics. We show that weakly connected networks of neurons near cusp bifu...
Eugene M. Izhikevich
IEAAIE
2004
Springer
14 years 3 months ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...