Rapid Identification of Asteraceae Plants with Improved RBF-ANN Classification Models Based on MOS Sensor E-Nose

Table 3

Comparison of three types of RBF-ANN with 12, 2, and 5 units.

Sum of square error	Training	Testing	Classification accuracy
			via 10-fold cross-validation
12 units RBF-ANN	0.939	0.320^a	100%
2 units RBF-ANN	0.083	0.029^a	100%
5 units RBF-ANN	0.522	0.207^a	100%