Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets

摘要

This article describes our method used for the 2007 forecasting competition for neural networks and computational intelligence. We have employed the first-order difference of time series for dealing with the seasonality of the monthly data. Since the diff