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» Introduction to artificial neural networks
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IJCNN
2007
IEEE
14 years 2 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
EVOW
2008
Springer
13 years 9 months ago
Architecture Performance Prediction Using Evolutionary Artificial Neural Networks
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
Pedro A. Castillo, Antonio Miguel Mora, Juan Juli&...
ICPR
2008
IEEE
14 years 9 months ago
Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
E. Alper Yildirim, Ince Turker, Moncef Gabbouj, Se...
ICPR
2002
IEEE
14 years 24 days ago
Contour Features for Colposcopic Image Classification by Artificial Neural Networks
This article presents colposcopic image classification based on contour parameters used in a comparison study of different artificial neural networks and the knearest neighbors re...
Isabelle Claude, Renaud Winzenrieth, Philippe Poul...
ICNC
2009
Springer
14 years 13 days ago
Knowledge Acquisition Approach Based on Rough Set and Artificial Neural Network in Product Design Process
In this paper, product structure is taken as knowledge acquisition point, and the effective knowledge acquisition path is discussed by establishing the associated relationship bet...
Changfeng Yuan, Wanlei Wang, Yan Chen