1701 search results - page 77 / 341 » Learning Mappings with Neural Network |
135
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CATA
2000
15 years 6 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 ...
144
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CEC
2009
IEEE
15 years 11 months ago
2009
IEEE
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
140
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NN
2007
Springer
15 years 4 months ago
2007
Springer
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
135
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ICANNGA
2007
Springer
15 years 6 months ago
2007
Springer
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
157
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GECCO
2010
Springer
15 years 9 months ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....