1701 search results - page 198 / 341 » Learning Mappings with Neural Network |
152
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IJCNN
2000
IEEE
15 years 10 months ago
2000
IEEE
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
336
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ICANN
2011
Springer
14 years 9 months ago
2011
Springer
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
178
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
191
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SEAL
1998
Springer
15 years 10 months ago
1998
Springer
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
156
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IJIT
2004
15 years 7 months ago
2004
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...