1282 search results - page 77 / 257 » Feature selection with neural networks |
172
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ESANN
2003
15 years 7 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
183
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
137
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IJCAI
1997
15 years 7 months ago
1997
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
156
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KES
2008
Springer
15 years 6 months ago
2008
Springer
This paper presents an intelligent traffic light control method based on extension neural network (ENN) theory for crossroads. First, the number of passing vehicles and passing tim...
184
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IROS
2008
IEEE
16 years 22 days ago
2008
IEEE
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...