4864 search results - page 155 / 973 » Evolving neural networks |
106
Voted
CATA
2000
15 years 3 months ago
2000
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
117
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ICANN
2010
Springer
15 years 2 months ago
2010
Springer
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
149
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ICANN
2011
Springer
14 years 5 months ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
134
Voted
IJCNN
2008
IEEE
15 years 8 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
135
Voted
JDCTA
2008
15 years 1 months ago
2008
The research work is carried out to enhance the recognition accuracy of neural network with Phase Only Correlation (POC) and reduce the time required for POC by refining its input...