374 search results - page 13 / 75 » Training the random neural network using quasi-Newton method... |
CEC
2008
IEEE
15 years 1 months ago
2008
IEEE
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
ANSS
1998
IEEE
15 years 4 months ago
1998
IEEE
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
NN
2008
Springer
14 years 11 months ago
2008
Springer
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
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PAKDD
1998
ACM
15 years 3 months ago
1998
ACM
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...