Research Article

A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network

Table 4

The testing samples for the classifier.

Samples (A) (°C) (A) (°C) (m/min) (°) (°) (Hz)

175.2471.38128.4585.462.001.0252.451038.441.65
289.4678.25110.4680.572.862.1549.21992.461.78
355.4680.1981.1490.252.893.3656.22810.761.08
475.2682.4362.4584.153.123.5552.46900.471.39
556.2878.16100.4590.412.568.2658.55523.290.68
649.2586.2468.5580.463.263.0660.46711.240.72
760.5680.12112.4292.362.767.4848.41871.250.92
870.3370.2496.4680.463.763.2660.27921.461.22
974.2385.19113.1579.782.322.2556.251000.461.66
1089.2376.24120.3685.143.314.2555.461035.481.63
3858.4674.2490.2280.252.463.2655.26849.161.35
3965.0287.16118.6490.465.069.2448.261025.291.75
4050.2285.1581.2589.443.343.4644.25672.640.72