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229
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ICMLA
2010
15 years 5 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
184
Voted
IJCNN
2007
IEEE
16 years 1 months ago
2007
IEEE
In this article we approach neural networks as computational templates that travel across various sciences. Traditionally, it has been thought that models are primarily models of s...
202
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ISNN
2007
Springer
16 years 1 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
168
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IWANN
2007
Springer
16 years 1 months ago
2007
Springer
111
Voted
IJCNN
2006
IEEE
16 years 1 months ago
2006
IEEE
