2210 search results - page 44 / 442 » Information complexity of neural networks |
138
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MICRO
2007
IEEE
15 years 8 months ago
2007
IEEE
Program runtime characteristics exhibit significant variation. As microprocessor architectures become more complex, their efficiency depends on the capability of adapting with wor...
121
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NN
1998
Springer
15 years 1 months ago
1998
Springer
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
107
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IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
119
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JUCS
2007
15 years 1 months ago
2007
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. We introduce four algorithms for packet transport in complex networks. These algorithms use deterministic rules which depend, in different ways, on the degree of the node...