4079 search results - page 224 / 816 » Neural Networks |
126
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ICANN
2005
Springer
15 years 11 months 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...
182
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WIRN
2005
Springer
15 years 11 months 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...
170
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DAGM
2007
Springer
15 years 9 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...
139
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EVOW
2006
Springer
15 years 9 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...
140
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IJCAI
2007
15 years 6 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...