1029 search results - page 118 / 206 » Neural Networks and Complexity Theory |
217
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ICANN
2001
Springer
15 years 9 months ago
2001
Springer
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
120
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EUSFLAT
2001
15 years 5 months ago
2001
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
161
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JIRS
2008
15 years 4 months ago
2008
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
157
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EC
2000
15 years 4 months ago
2000
To successfully apply evolutionary algorithms to the solution of increasingly complex problems, we must develop effective techniques for evolving solutions in the form of interact...
147
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NPL
2002
15 years 4 months ago
2002
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...