4049 search results - page 51 / 810 » Neural Network Trainer through Computer Networks |
ASAP
2009
IEEE
15 years 9 months ago
2009
IEEE
—Simulating spiking neural networks is of great interest to scientists wanting to model the functioning of the brain. However, large-scale models are expensive to simulate due to...
106
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ISNN
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. This paper studies the extension of the Generalization Complexity (GC) measure to real valued input problems. The GC measure, defined in Boolean space, was proposed as a...
GECCO
2005
Springer
15 years 5 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
118
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NECO
2010
14 years 10 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
121
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...