Figures & data
Figure 1. An ELM model for forecasting Pattavia pineapple productivity.
Figure 2. The framework of the optimization models for forecasting Pattavia pineapple productivity.
Figure 3. The nine inputs and one output for the forecast models, (a1) n1, (b1) n2, (c1) n3, (d1) n4 of Loei and (a2) n1, (b2) n2, (c2) n3, (d2) n4 of Nong Khai.
Figure 4. The nine inputs and one output for the forecast models, (e1) n5, (f1) n6, (g1) n7, (h1) n8 of Loei and (e2) n5, (f2) n6, (g2) n7, (h2) n8 of Nong Khai.
Figure 5. The nine inputs and one output for the forecast models, (i1) n9, (j1) Pattavia pineapple productivity of Loei and (i2) n9, (j2) Pattavia pineapple productivity of Nong Khai.
Table 1. Descriptive summary Pattavia pineapple Product of Loei and Nong Khai provinces in Thailand.
Figure 6. The normalization in [0,1] of nine inputs for the forecast models, (a) Loei, and (b) Nong Khai.
![Figure 6. The normalization in [0,1] of nine inputs for the forecast models, (a) Loei, and (b) Nong Khai.](/cms/asset/1a7fa28b-6a2f-4250-9f6b-6315db37e5ad/oaen_a_2316458_f0006_c.jpg)
Figure 7. The correlation of actual Pattavia pineapple productivity with the forecast models, (a) Loei, and (b) Nong Khai.
Figure 8. Actual Pattavia pineapple productivity with the forecast models (a) Loei, and (b) Nong Khai.
Table 2. The accuracy of the ELM, PSO-ELM, NIPSO-ELM models for Pattavia pineapple product of Loei and Nong Khai provinces in Thailand.
