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ICONIP
2007
15 years 4 months ago
Diverse Evolutionary Neural Networks Based on Information Theory
There is no consensus on measuring distances between two different neural network architectures. Two folds of methods are used for that purpose: Structural and behavioral distance ...
Kyung-Joong Kim, Sung-Bae Cho
91
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ESANN
2006
15 years 4 months ago
Robust Local Cluster Neural Networks
Abstract. Artificial neural networks are intended to be used in future nanoelectronics since their biological examples seem to be robust to noise. In this paper, we analyze the rob...
Ralf Eickhoff, Joaquin Sitte, Ulrich Rückert
102
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NECO
2010
75views more  NECO 2010»
14 years 10 months ago
How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality
Christopher DiMattina, Kechen Zhang
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon