4864 search results - page 283 / 973 » Evolving neural networks |
148
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ICANN
2005
Springer
16 years 4 days ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
203
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WIRN
2005
Springer
16 years 3 days ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
157
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ISCAS
1999
IEEE
15 years 11 months ago
1999
IEEE
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...
186
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DAGM
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
158
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IJCAI
2007
15 years 8 months ago
2007
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...