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ICONIP
2007

Diverse Evolutionary Neural Networks Based on Information Theory

14 years 27 days 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 measures. In this paper, we focus on the later one that compares differences based on output responses given the same input. Usually neural network output can be interpreted as a probabilistic function
Kyung-Joong Kim, Sung-Bae Cho
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ICONIP
Authors Kyung-Joong Kim, Sung-Bae Cho
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