Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model
In business, industry and government agencies, anticipating future behavior that involves many critical variables for nation wealth creation is vitally important, thus the necessity to make precise decision by the policy makers is really essential. Consequently, an accurate and reliable forecast sys...
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Main Authors: | , |
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Format: | Book Section |
Language: | English |
Published: |
ICS AS
2007
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/9635/1/RoselinaSalleh2007_ForecastingTimeSeriesDataUsing.pdf http://eprints.utm.my/id/eprint/9635/ |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |