599 search results - page 37 / 120 » Nonlinear dynamics in neural computation |
112
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
104
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EUSFLAT
2001
15 years 2 months ago
2001
The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to pro...
160
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ISBMS
2010
Springer
15 years 8 months ago
2010
Springer
Understanding the neural control and mechanics of human eye movement has significant implications for treating vision disorders. A computational model incorporating physiological ...
100
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NN
2008
Springer
15 years 1 months ago
2008
Springer
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
160
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...