Research Article
Study of Montmorillonite Clay for the Removal of Copper (II) by Adsorption: Full Factorial Design Approach and Cascade Forward Neural Network
Table 3
24 full factorial experimental design with actual levels.
| | Runs | | | | | % actual | % predicted | Residuals |
| | 1 | 6 | 25 | 10 | 1 | 98.4 | 98.21 | 0.187 | | 2 | 6 | 5 | 10 | 0 | 77.7 | 78.11 | −0.412 | | 3 | 3 | 25 | 10 | 0 | 69.7 | 70.00 | −0.298 | | 4 | 6 | 5 | 10 | 1 | 85.8 | 85.81 | −0.012 | | 5 | 3 | 5 | 30 | 1 | 71.2 | 71.81 | −0.613 | | 6 | 6 | 25 | 30 | 0 | 91.2 | 90.79 | 0.412 | | 7 | 3 | 25 | 10 | 1 | 80.1 | 80.24 | −0.138 | | 8 | 3 | 25 | 30 | 0 | 72.7 | 73.06 | −0.363 | | 9 | 6 | 5 | 30 | 1 | 89.4 | 88.74 | 0.663 | | 10 | 3 | 5 | 30 | 0 | 64.2 | 64.01 | 0.187 | | 11 | 3 | 5 | 10 | 1 | 68.1 | 68.14 | −0.038 | | 12 | 3 | 5 | 10 | 0 | 60.4 | 59.94 | 0.462 | | 13 | 3 | 25 | 30 | 1 | 83.7 | 82.91 | 0.787 | | 14 | 6 | 25 | 10 | 0 | 88.7 | 88.46 | 0.237 | | 15 | 6 | 25 | 30 | 1 | 99.3 | 100.14 | −0.838 | | 16 | 6 | 5 | 30 | 0 | 81.2 | 81.44 | −0.238 |
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%: removal efficiency.
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