Title :
Nonlinear combination of forecasts with neural networks
Author :
Shi, Shanming ; Liu, Bao
Author_Institution :
Inst. of Syst. Eng., Tianjin Univ., China
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;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.714070
