1707 search results - page 129 / 342 » Modeling spiking neural networks |
166
Voted
WAPCV
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
166
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ESANN
2004
15 years 7 months ago
2004
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
134
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ESANN
2001
15 years 7 months ago
2001
Neural networks use neurons of the same type in each layer but such architecture cannot lead to data models of optimal complexity and accuracy. Networks with architectures (number ...
123
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NN
2007
Springer
15 years 5 months ago
2007
Springer
In models of associative memory composed of pulse neurons, chaotic pattern transitions where the pattern retrieved by the network changes chaotically were found. The network is co...
164
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ICIC
2007
Springer
16 years 8 days ago
2007
Springer
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...