| 混合遗传算法在贮灰坝监测系统上的应用 |
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| 引用本文： | 谭志军,李俊杰. 混合遗传算法在贮灰坝监测系统上的应用[J]. 水电能源科学, 2003, 21(3): 68-70 |
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| 作者姓名： | 谭志军 李俊杰 |
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| 作者单位： | 大连理工大学,土木水利学院,辽宁,大连,116024 |
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| 摘 要： | BP网络能较好地解决贮灰坝监测系统的预报问题，但容易陷入局部极小值；遗传算法能寻求到全局最优解，因此，将二者结合的突出优点在于可以克服前者经常得出局部极小值解的缺点，而取得全局最优解。将BP算法用于加强遗传算法的局部搜索，并且应用到贮灰坝的监测系统上，取得了较好的效果。
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| 关 键 词： | BP算法 遗传算法 神经网络 监测系统 贮灰坝 |
| 文章编号： | 1000-7709(2003)03-0068-02 |
| 修稿时间： | 2003-07-04 |
Application of Hybrid Genetic Algorithm in Monitoring System of Flyash Storage Dam |
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| TAN Zhi jun LI Jun jie. Application of Hybrid Genetic Algorithm in Monitoring System of Flyash Storage Dam[J]. International Journal Hydroelectric Energy, 2003, 21(3): 68-70 |
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| Authors: | TAN Zhi jun LI Jun jie |
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| Abstract: | BP network can solve the prediction problem of monitoring system, but is apt to plunge into local minimum. Genetic algorithm can find optimal solution, so BP algorithm may be combined with genetic algorithm, which can overcome the shortcomings of BP algorithm. The advantages make people attach importance to combination of both algorithms. The author adopts BP algorithm to strengthen local searching of genetic algorithm and applies it to monitoring system of flyash dam which functions well. |
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| Keywords: | BP algorithm genetic algorithm neural network monitoring system |
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