11814 search results - page 39 / 2363 » On Generalization by Neural Networks |
133
Voted
CEC
2008
IEEE
15 years 10 months ago
2008
IEEE
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
122
Voted
IPPS
2006
IEEE
15 years 9 months ago
2006
IEEE
This work presents a new approach to solve the location management problem by using the location areas approach. A combination of a genetic algorithm and the Hopfield neural netwo...
131
Voted
ESANN
2007
15 years 5 months ago
2007
Abstract. As potential candidates for human cognition, connectionist models of sentence processing must learn to behave systematically by generalizing from a small traning set. It ...
114
Voted
AI
2001
Springer
15 years 8 months ago
2001
Springer
This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by ...
179
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ICTAI
2003
IEEE
15 years 8 months ago
2003
IEEE
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...