498 search results - page 16 / 100 » Training Neural Networks with GA Hybrid Algorithms |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
CEC
2008
IEEE
13 years 9 months ago
2008
IEEE
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
IJON
2000
2000
Synthesis approach for bidirectional associative memories based on the perceptron training algorithm
13 years 7 months ago
Bidirectional associative memories are being used extensively for solving a variety of problems related to pattern recognition. In the present paper, a new synthesis approach is d...
IJON
2008
13 years 7 months ago
2008
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
ISNN
2010
Springer
13 years 5 months ago
2010
Springer
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...