228 search results - page 4 / 46 » Neural Network Regression for LHF Process Optimization |
NIPS
1994
13 years 9 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
NN
2000
Springer
13 years 7 months ago
2000
Springer
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
ISNN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic m...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— This paper considers the basis vector selection issue invloved in forward selection algorithms to sparse Gaussian Process Regression (GPR). Firstly, we re-examine a pre...