460 search results - page 22 / 92 » Neural Network Algorithms for the p-Median Problem |
IJON
2007
15 years 19 days ago
2007
Piecewise linear networks (PLNs) are attractive because they can be trained quickly and provide good performance in many nonlinear approximation problems. Most existing design alg...
143
Voted
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
118
Voted
ICMLA
2010
14 years 10 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
108
Voted
CISS
2008
IEEE
15 years 7 months ago
2008
IEEE
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
118
Voted
IR
2002
15 years 12 days ago
2002
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...