Research Article
Real-Coded Quantum-Inspired Genetic Algorithm-Based BP Neural Network Algorithm
Table 5
Result of GA-BPNN and RQGA-BPNN.
| Number of times | Parameters | (GA-BP) | (RQGA-BP) | (GA-BP) | (RQGA-BP) |
| 1 | 0.0344 | 0.0326 | 0.9603 | 0.9782 | 2 | 0.0364 | 0.0245 | 0.9425 | 0.9760 | 3 | 0.0326 | 0.0275 | 0.9311 | 0.9728 | 4 | 0.0225 | 0.0295 | 0.9788 | 0.9859 | 5 | 0.0538 | 0.0284 | 0.9031 | 0.9785 | 6 | 0.0447 | 0.0299 | 0.9188 | 0.9745 | 7 | 0.0216 | 0.0283 | 0.9704 | 0.9518 | 8 | 0.0325 | 0.0323 | 0.8515 | 0.9488 | 9 | 0.0529 | 0.0298 | 0.8912 | 0.9496 | 10 | 0.0319 | 0.0218 | 0.9325 | 0.9680 |
|
|