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Time series forecasting using multilayer neural network constructed by a Monte-Carlo based algorithm

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2 Author(s)
Peiming Xin ; Phys. Dept., Xiamen Univ., Xiamen, China ; Hong Zhao

In this paper we use a multilayer neural network (MNN) constructed by a Monte Carlo based algorithm to forecast time series events. Experiments are carried out on two benchmark problems in time series forecasting literature. Our result shows a comparative performance with other prediction methods. In our approach, a multilayer neural network with high level of generalization ability is obtained without sensible choice of external parameters.

Published in:

Web Society, 2009. SWS '09. 1st IEEE Symposium on

Date of Conference:

23-24 Aug. 2009