Research Article
Dynamic Heat Supply Prediction Using Support Vector Regression Optimized by Particle Swarm Optimization Algorithm
Table 3
Comparison of the experimental results obtained with the PSO-SVR model and six data sets.
| Samples | Size | Parameters | Evaluation indexes | | | | Training set MSE | Training set | Testing set MSE | Testing set |
| Data Set 1 | 196 | 99.2447 | 0.022 | 7.75 × 10−5 | 0.0019 | 0.9945 | | 0.9475 | Data Set 2 | 248 | 98.8186 | 0.0096 | 2.24 × 10−4 | 0.0022 | 0.9907 | | 0.9798 | Data Set 3 | 240 | 95.4227 | 0.0061 | 3.23 × 10−4 | 0.002 | 0.9878 | | 0.9244 | Data Set 4 | 176 | 95.9658 | 0.0006 | 2.27 × 10−4 | 0.0025 | 0.9896 | | 0.9887 | Data Set 5 | 123 | 97.2685 | 0.0146 | 8.20 × 10−5 | 0.0026 | 0.9896 | | 0.9983 | Data Set 6 | 104 | 96.8596 | 0.0152 | 3.56 × 10−4 | 0.0027 | 0.9915 | | 0.9605 |
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