Research Article
Integrated Feature Selection of ARIMA with Computational Intelligence Approaches for Food Crop Price Prediction
Table 21
PIs of the whole food crop prices by using the proposed integrated models over another element, other than ARIMA element.
| | (%) | (%) | (%) |
| (1) ARIMA-ANN over ANN | | | | Rice | 34.250 | 27.273 | 34.226 | Wheat | 30.810 | 21.562 | 29.598 | Corn | 2.018 | −10.973 | 1.645 | Average PIs | 22.359 | 12.621 | 21.823 | (2) ARIMA-SVR over SVR | | | | Rice | 251.772 | 252.688 | 236.023 | Wheat | 4.336 | 19.483 | 7.223 | Corn | −2.601 | −5.525 | −3.677 | Average PIs | 84.502 | 88.882 | 79.856 | (3) ARIMA-MARS over MARS | | | | Rice | 81.359 | 61.186 | 78.189 | Wheat | 20.304 | −1.029 | 17.842 | Corn | 8.006 | 2.579 | 8.587 | Average PIs | 36.556 | 20.912 | 34.873 |
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