1359 search results - page 147 / 272 » Neural Dynamics with Stochasticity |
182
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ISER
2004
Springer
15 years 11 months ago
2004
Springer
We have been trying to induce a quadruped robot to walk with medium walking speed on irregular terrain based on biological concepts. We propose the essential conditions for stable ...
149
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ESANN
2007
15 years 7 months ago
2007
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
162
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ESANN
2008
15 years 7 months ago
2008
Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...
155
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NIPS
1993
15 years 7 months ago
1993
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
146
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IJON
2008
15 years 6 months ago
2008
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...