1701 search results - page 94 / 341 » Learning Mappings with Neural Network |
161
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ICANN
2009
Springer
15 years 9 months ago
2009
Springer
Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our...
140
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
146
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TNN
1998
15 years 4 months ago
1998
: A novel approach to artificial neural networks is presented. The philosophy of this approach is based on two aspects: the design of task-specific networks, and a new neuron model...
139
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KI
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...
133
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ICANN
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...