243 search results - page 20 / 49 » Interpretation of Trained Neural Networks by Rule Extraction |
ENGL
2007
14 years 11 months ago
2007
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
115
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ICML
1995
IEEE
16 years 15 days ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
—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 ...
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— This paper investigates spatiotemporal feature extraction from temporal image sequences based on invariance representation. Invariance representation is one of important functi...
121
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IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...