498 search results - page 35 / 100 » Training Neural Networks with GA Hybrid Algorithms |
109
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ICANN
2001
Springer
15 years 6 months ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
114
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ESANN
2003
15 years 3 months ago
2003
In this paper we propose a new algorithm for rule extraction from a trained Multilayer Feedforward network. The algorithm is based on an interval arithmetic network inversion for p...
168
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ICT
2004
Springer
15 years 7 months ago
2004
Springer
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
120
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NPL
2000
15 years 1 months ago
2000
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
143
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JIRS
2008
15 years 1 months ago
2008
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...