计算机科学 ›› 2017, Vol. 44 ›› Issue (Z6): 126-128.doi: 10.11896/j.issn.1002-137X.2017.6A.028
徐云娟
XU Yun-juan
摘要： 随着我国经济的快速发展,环境保护工作面临前所未有的压力。为有效加强水产养殖水域环境的监管力度,应对突发性环境污染事故对社会生活和经济发展的影响,建立BP神经网络来拟合水产养殖水域饲料投放与总磷(TP)、总氮(TN)、透明度(SD)以及耗氧量(COD)等富营养指标变化情况的对应函数关系,并利用遗传算法来实现目标函数的优化方法,形成养殖水域预警模型,为水域环境治理和公共决策提供技术支撑。利用该模型对鄱阳湖新型水产养殖基地的样本进行分析,取得了很好的预测效果。
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