695 search results - page 6 / 139 » Different Learning Algorithms for Neural Networks - A Compar... |
142
Voted
CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
128
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ANNS
2007
15 years 4 months ago
2007
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
112
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CEC
2003
IEEE
15 years 7 months ago
2003
IEEE
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
172
Voted
AI
2002
Springer
15 years 2 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
118
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NN
2007
Springer
15 years 2 months ago
2007
Springer
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...