144 search results - page 8 / 29 » Training approaches in neural enhancement for multiobjective... |
EMO
2006
Springer
15 years 1 months ago
2006
Springer
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
100
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ML
2007
ACM
14 years 9 months ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Using a neural network-fuzzy logic-genetic algorithm approach we generate an optimal predictor for biological activities of HIV-1 protease potential inhibitory compound...
117
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...