1707 search results - page 84 / 342 » Modeling spiking neural networks |
136
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CIMCA
2005
IEEE
15 years 11 months ago
2005
IEEE
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
140
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ESANN
2008
15 years 7 months ago
2008
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
141
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IJSYSC
2006
15 years 5 months ago
2006
: The paper deals with collision free path planning for industrial robotic manipulators. A new efficient algorithm is proposed that is based on a topologically ordered neural netwo...
153
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NN
2000
Springer
15 years 5 months ago
2000
Springer
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
164
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NIPS
1998
15 years 7 months ago
1998
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...