559 search results - page 4 / 112 » Neural methods for non-standard data |
IJCNN
2000
IEEE
13 years 10 months ago
2000
IEEE
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
IDEAL
2010
Springer
13 years 5 months ago
2010
Springer
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
MCS
2006
Springer
13 years 7 months ago
2006
Springer
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...