DocumentCode
328370
Title
Nonlinear combination of forecasts with neural networks
Author
Shi, Shanming ; Liu, Bao
Author_Institution
Inst. of Syst. Eng., Tianjin Univ., China
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
959
Abstract
Provides an approach to nonlinear combination of forecasts based on a neural networks approach. Instead of a linear combination of forecasts the authors discuss the underlying principle of nonlinear information combination. The test result suggests that the nonlinear combination of forecasts with neural networks is an effective way for combining forecasts.
Keywords
forecasting theory; learning (artificial intelligence); neural nets; forecasts combination; neural networks; nonlinear combination; nonlinear information combination; Arithmetic; Information analysis; Information processing; Integrated circuit modeling; Neural networks; Predictive models; Random variables; Robustness; Systems engineering and theory; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.714070
Filename
714070
Link To Document