195 search results - page 1 / 39 » Adaptive Algorithms for Neural Network Supervised Learning: ... |
IJBC
2006
13 years 5 months ago
2006
HIS
2001
13 years 7 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
TNN
2010
13 years 15 days 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...
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...