A hybrid singular spectrum analysis and neural networks for forecasting inflow and outflow currency of bank Indonesia
This study proposes hybrid methods by combining Singular Spectrum Analysis and Neural Network (SSA-NN) to forecast the currency circulation in the community, i.e. inflow and outflow. The SSA technique is applied to decompose and reconstruct the time series factors which including trend, cyclic, and...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Published: |
2019
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/92192/ http://www.dx.doi.org/10.1007/978-981-13-3441-2_1 |
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