Fitting conventional neural network time series models on sand price indices dataset
This result-based paper discusses on the best aftereffects of both fitted BPNN-NAR and BPNN-NARMA on MCCI Sand dataset regarding distinctive error measures. This exploration examine the outcomes as far as the execution of the fitted forecasting models by every arrangement of input lags and error lag...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Science Publishing Corporation Inc
2018
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |