| 基于遗传优化神经网络的市政管网水质模型研究 |
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| 作者姓名： | 任彬 周荣敏 |
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| 作者单位： | 郑州大学,水利与环境学院,河南,郑州,450002 |
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| 摘 要： | 将遗传算法的全局搜索能力和BP神经网络的局部学习能力有机结合,得到一种快速高效的建立供水管网余氯的水质模型的新方法。验证结果表明,遗传算法优化后的神经网络模型所需要考虑的参数较少,应用方便,预测精度和效率较高,在城市给水系统水质模拟预测研究中有一定的参考应用价值。
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| 关 键 词： | 给水管网 遗传算法 神经网络 水质模型 遗传算子 Matlab工具箱 |
Water quality model of municipal network based on genetic optimization neural network |
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| Authors: | Ren Bin Zhou Rongmin |
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| Affiliation: | (School of Water Conservancy ＆ Environment, Zhengzhou University, Zhengzhou 450002, China) |
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| Abstract: | Considering with global searching ability of genetic algorithm and partial learning ability of BP neural network, a new method was applied for rapid and efficient establishment a water quality model of residual chlorine in water supply network. The verification showed that neural network had the features of less considerable parameters, convenient for application, high accuracy prediction by a genetic algorithm optimization, and it had certain reference value on simulation and prediction for urban water supply system. |
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| Keywords: | genetic operator and effective for the water quality water supply network genetic algorithm neural network water quality model Matlab toolbox |
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