Research Article
An Optimized Classification Algorithm by Neural Network Ensemble Based on PLS and OLS
Table 4
Comparison of every classifier’s accuracy for Test 2.
| Network model | Weights | Training steps | 1 | 2 | 3 | 4 | 5 | SSE |
| Actual value | — | — | 0 | 1 | 0 | 1 | 0 | — | Subclassifier I (BP NN) | 0.3127 | 1205 | −0.2163 | 1.5213 | 0.2027 | 0.6994 | −0.1050 | 0.4610 | Subclassifier II (EBF NN) | 0.2208 | 45 | 0.3255 | 1.4126 | −0.1685 | 1.5012 | 0.2167 | 0.6027 | Subclassifier III (Elman NN) | 0.4665 | 877 | −0.1294 | 0.8927 | −0.5101 | 1.2093 | −0.0972 | 0.3417 | PLS-Elman | — | 408 | 0.1273 | 0.5792 | −0.2216 | 1.1749 | 0.1132 | 0.2858 | Assembling system | — | — | −0.0561 | 1.2041 | −0.2118 | 1.1143 | −0.0303 | 0.1036 |
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