Research Article
English Text Analysis System Based on Genetic Algorithm
| Parameter name | Parameter value |
| Kernel function | RBF | Penalty coefficient | 350 | Gamma | 1/d (d = feature dimension) | Population size | 20 | Iteration number | 150 | Selection technique | RWS (roulette selection algorithm) | Crossover type | UC (even cross) | Crossover rate | 0.8 | Mutation type | SM (basic bit variation) | Mutation rate | 0.0002 |
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