2924 search results - page 188 / 585 » On the Use of Evidence in Neural Networks |
127
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IJIT
2004
15 years 3 months ago
2004
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
ESANN
2007
15 years 3 months ago
2007
A recently proposed nonlinear extension of Granger causality is used to map the dynamics of a neural population onto a graph, whose community structure characterizes the collective...
182
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JMLR
2006
15 years 1 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
122
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NN
2008
Springer
15 years 1 months ago
2008
Springer
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
100
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IJCAI
2007
15 years 3 months ago
2007
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...