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176
Voted
ICT
2004
Springer
15 years 8 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 ...
113
Voted
ICONIP
1998
15 years 4 months ago
1998
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
141
Voted
ICMLA
2010
15 years 17 days ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
115
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ICANN
2001
Springer
15 years 7 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...
136
Voted
CNSR
2004
IEEE
15 years 6 months ago
2004
IEEE
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...