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

<table>Architecture of three layers of original RBF-ANN with 12 units in the input layer (codes stand for samples and S1~S12 stand for 12 MOS sensors).</table>

Evidence-Based Complementary and Alternative Medicine

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Figure 3

Figure 3: Rapid Identification of <i>Asteraceae</i> Plants with Improved RBF-ANN Classification Models Based on MOS Sensor E-Nose 

Evidence-Based Complementary and Alternative Medicine

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

Figure 3