TABLE 6.
ANN | Training | Testing | ||||||
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N | SSE | RMSE | N | SSE | RMSE | Total sample | ||
ANN01 | 555 | 2.891 | 0.072 | 67 | 0.333 | 0.070 | 622 | |
ANN02 | 546 | 2.751 | 0.071 | 76 | 0.563 | 0.086 | 622 | |
ANN03 | 563 | 3.039 | 0.073 | 59 | 0.251 | 0.065 | 622 | |
ANN04 | 557 | 2.904 | 0.072 | 65 | 0.418 | 0.080 | 622 | |
ANN05 | 567 | 2.921 | 0.072 | 55 | 0.402 | 0.085 | 622 | |
ANN06 | 558 | 2.962 | 0.073 | 64 | 0.221 | 0.059 | 622 | |
ANN07 | 554 | 2.859 | 0.072 | 68 | 0.299 | 0.066 | 622 | |
ANN08 | 558 | 3.114 | 0.075 | 64 | 0.322 | 0.071 | 622 | |
ANN09 | 562 | 4.509 | 0.090 | 60 | 0.389 | 0.081 | 622 | |
ANN10 | 558 | 2.881 | 0.072 | 64 | 0.356 | 0.075 | 622 | |
Mean | 3.083 | 0.074 | 0.355 | 0.074 | ||||
Standard deviation | 0.511 | 0.006 | 0.097 | 0.009 |
SSE, sum square of errors; N, sample size; ANN, Artificial neural network model.