11814 search results - page 295 / 2363 » On Generalization by Neural Networks |
149
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ICANN
2005
Springer
16 years 5 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 4 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...
158
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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...
187
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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...
156
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EVOW
2006
Springer
15 years 10 months ago
2006
Springer
This paper describes an ongoing exploration into the use of Continuous-Time Recurrent Neural Networks (CTRNNs) as generative and interactive performance tools, and using Genetic Al...