1359 search results - page 11 / 272 » Neural Dynamics with Stochasticity |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...
NIPS
2007
14 years 11 months ago
2007
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...
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IJON
2006
14 years 9 months ago
2006
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
AOR
2010
14 years 7 months ago
2010
We show how a technique from signal processing known as zero-delay convolution can be used to develop more efficient dynamic programming algorithms for a broad class of stochastic...
ENGL
2008
14 years 9 months ago
2008
dynamic analysis of structures for earthquake induced loads is very expensive in terms of the computational burden. In this study, to reduce the computational effort a new neural s...