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CEC
2005
IEEE
15 years 8 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
ECAI
2010
Springer
15 years 7 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
IM
2003
15 years 7 months ago
Using Neural Networks to Identify Control and Management Plane Poison Messages
: Poison message failure propagation is a mechanism that has been responsible for large scale failures in both telecommunications and IP networks: Some or all of the network elemen...
Xiaojiang Du, Mark A. Shayman, Ronald A. Skoog
IWANN
2009
Springer
16 years 28 days ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...
IJCNN
2008
IEEE
16 years 24 days ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...