401 search results - page 25 / 81 » Evolving a neural network using dyadic connections |
159
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IJCAI
1989
15 years 7 months ago
1989
Parallel processors offer a very attractive mechanism for the implementation of large neural networks. Problems in the usage of parallel processing in neural computing involve the...
167
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ICDAR
2003
IEEE
15 years 11 months ago
2003
IEEE
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
130
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IDEAL
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
142
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
157
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GECCO
2006
Springer
15 years 9 months ago
2006
Springer
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...