Development of adaptive combined models for predicting time series based on similarity identification
Adaptive combined models of hybrid and selective types for prediction of time series on the basis of a program set of adaptive polynomial models of various orders were offered. Selection in these models is carried out according to B-, R-, P-criteria with automatic formation of the basic set of model...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PC Technology Center
2018-01-01
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| Series: | Eastern-European Journal of Enterprise Technologies |
| Subjects: | |
| Online Access: | http://journals.uran.ua/eejet/article/view/121620 |