2210 search results - page 43 / 442 » Information complexity of neural networks |
IJNCR
2010
14 years 11 months ago
2010
we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NM...
IWANN
1999
Springer
15 years 6 months ago
1999
Springer
In this paper, a new algorithm for blind inversion of Wiener systems is presented. The algorithm is based on minimization of mutual information of the output samples. This minimiz...
130
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GECCO
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
119
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ESANN
2006
15 years 3 months ago
2006
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
135
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FCCM
2009
IEEE
15 years 5 months ago
2009
IEEE
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...