宋协法,马真,万荣,高磊

• 1:中国海洋大学水产学院
• 2:辽宁省海洋水产科学研究院

摘要(Abstract)：

以BP神经网络为基础,建立了凡纳滨对虾养殖水质预测模型。采用3层结构,通过灵敏度分析得到网络的输入变量,在确定了模型的各结构参数后,建立了凡纳滨对虾养殖水质预测模型,并根据整个对虾养殖周期内的水质监测数据对模型进行了训练和仿真。结果显示,水质的实测值与预测值之间的相关系数为0.991 8,预测误差率结果显示,最大误差率为4.37%,最小误差率为0.12%,平均误差率为1.20%,总体预测结果较好。BP神经网络能够以较高精度预测养殖水质状况,为水质恶化的早期预报提供了有效途径。

关键词(KeyWords)： 人工神经网络;BP神经网络;水质预测;凡纳滨对虾

Abstract:

Keywords:

基金项目(Foundation): 国家科技支撑计划项目(2011BAD13B04)资助

作者(Author): 宋协法,马真,万荣,高磊

DOI: 10.16441/j.cnki.hdxb.2014.06.004

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