A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction

Authors:
Dursun Aydin;Mammadagha Mammadov
Affiliations:
Department of Statistics, Muǧla University, Kötekli, Muǧla, Turkey;Department of Statistics, Anadolu University, Tepebasi, Eskisehir, Turkey
Venue:
WSEAS Transactions on Mathematics
Year:
2009

Citing 5
Cited 0

Original Contribution: A scaled conjugate gradient algorithm for fast supervised learning

Neural Networks
Semiparametric approaches to signal extraction problems in economic time series

Computational Statistics & Data Analysis
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Time Series Analysis, Forecasting and Control

Time Series Analysis, Forecasting and Control

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Osorio and Glover (2003) use of dual surrogate analysis is exploited to fix variables in capacitated facility location problems (CFLP). The surrogate constraint is obtained by weighting the original problem constraints by their associated dual values ...