Table 2 ANN prediction results of efficiency for all experimental conditions of separation (a) coal, (b) iron ore.
From: Separator equipment performance of iron ore and coal using experimental and ANN-based analysis
Moisture content | Screen angular position (0) | Training R | Test R | Validation R | All R | Regression coefficient R-squared |
|---|---|---|---|---|---|---|
(a) Coal | ||||||
4% | 1 | 0.9977 | 0.9979 | 0.9982 | 0.9977 | 99.55% |
3 | 0.9997 | 0.9998 | 0.9994 | 0.9996 | 99.93% | |
5 | 0.9948 | 0.9961 | 0.9994 | 0.9955 | 99.10% | |
6% | 1 | 0.9991 | 0.9999 | 0.9997 | 0.9994 | 99.88% |
3 | 0.9995 | 0.9999 | 0.9997 | 0.9996 | 99.93% | |
5 | 0.9990 | 1 | 0.9996 | 0.9992 | 99.85% | |
8% | 1 | 0.9993 | 0.9979 | 0.9999 | 0.9993 | 99.87% |
3 | 0.9969 | 0.9999 | 0.9999 | 0.9977 | 99.55% | |
5 | 0.9991 | 0.9973 | 0.9996 | 0.9990 | 99.81% | |
(b) Iron ore | ||||||
4% | 1 | 0.9986 | 0.9999 | 0.9999 | 0.9991 | 99.82% |
3 | 0.99489 | 0.9977 | 0.9973 | 0.9953 | 99.07% | |
5 | 0.9969 | 0.9954 | 0.9997 | 0.9963 | 99.26% | |
6% | 1 | 0.9949 | 0.9917 | 0.9956 | 0.9911 | 98.24% |
3 | 0.9894 | 0.9996 | 0.9975 | 0.9916 | 98.33% | |
5 | 0.9988 | 0.9999 | 0.9994 | 0.9991 | 99.82% | |
8% | 1 | 0.9978 | 0.9996 | 0.9998 | 0.9984 | 99.69% |
3 | 0.9992 | 0.9999 | 0.9996 | 0.9991 | 99.83% | |
5 | 0.9942 | 0.9919 | 0.9998 | 0.9943 | 98.87% | |
