460 search results - page 4 / 92 » Neural Network Algorithms for the p-Median Problem |
224
Voted
TNN
2010
15 years 1 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
161
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MCS
2006
Springer
15 years 6 months ago
2006
Springer
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
156
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CEC
2007
IEEE
16 years 23 days ago
2007
IEEE
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
155
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IWANN
1995
Springer
15 years 10 months ago
1995
Springer
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
168
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APIN
2005
15 years 6 months ago
2005
A hybrid Neural-Genetic algorithm (NG) is presented for the frequency assignment problem in satellite communications (FAPSC). The goal of this problem is minimizing the cochannel i...