460 search results - page 11 / 92 » Neural Network Algorithms for the p-Median Problem |
GECCO
2004
Springer
15 years 4 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
GECCO
2005
Springer
15 years 4 months ago
2005
Springer
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
ESANN
2000
15 years 12 days ago
2000
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
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ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
ICANN
2009
Springer
15 years 3 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...