195 search results - page 1 / 39 » Adaptive Algorithms for Neural Network Supervised Learning: ... |
71
Voted
IJBC
2006
15 years 3 months ago
2006
199
Voted
HIS
2001
15 years 5 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...
179
Voted
TNN
2010
14 years 10 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...
139
Voted
ATAL
2008
Springer
15 years 5 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...
139
Voted
GECCO
2008
Springer
15 years 4 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...