151 search results - page 1 / 31 » Optimized Approximation Algorithm in Neural Networks Without... |
TNN
2008
13 years 4 months ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
AIA
2007
13 years 6 months ago
2007
In this paper, a novel and effective criterion based on the estimation of the signal-to-noise-ratio figure (SNRF) is proposed to optimize the number of hidden neurons in neural ne...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— The optimization of classification systems is often confronted by the solution over-fit problem. Solution over-fit occurs when the optimized classifier memorizes the traini...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
ICMLA
2010
13 years 2 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...