| 基于BP人工神经网络的海水水质综合评价 |
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| 引用本文： | 李雪,刘长发,王磊,邱文静.基于BP人工神经网络的海水水质综合评价[J].海洋通报(英文版),2011,13(2):62-71. |
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| 作者姓名： | 李雪 刘长发 王磊 邱文静 |
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| 作者单位： | 1. 国家海洋信息中心,天津,300171
2. 大连海洋大学海洋环境工程学院,辽宁大连,116023 |
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| 摘 要： | 为了能够客观地对海水水质进行综合评价，在分析人工神经网络概念和原理的基础上，从阈值角度出发，通过对各类海水水质污染指标浓度生成样本的方法，生成了适用于BP人工神经网络模型训练的样本，并应用基于误差反向传播原理的前向多层神经网络，建立了用于海水水质评价的BP人工神经网络模型。将该模型用于渤海湾近岸海域水环境评价，通过模型...
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| 关 键 词： | 人工神经网络 海水水质 训练样本 连接权值 评价 |
Integrated assessment of sea water quality based on BP artificial neural network |
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| LI Xue,LIU Chang-fa,WANG Lei,QIU Wen-jing.Integrated assessment of sea water quality based on BP artificial neural network[J].Marina Science Bulletin,2011,13(2):62-71. |
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| Authors: | LI Xue LIU Chang-fa WANG Lei QIU Wen-jing |
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| Institution: | 1. National Manne Data and Information Service, State Oceanic Administration, Tianjin 300171, China; 2. College of Marine Environment Engineering, Dalian Ocean University, Dalian 116023, Liaoning Province, China |
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| Abstract: | In order to carry out an integrated assessment of sea water quality objectively, this paper based on the concept and principle of artificial neural network, generated appropriate training samples for BP artificial neural network model through the method of producing samples to the concentration of various pollution index of sea water quality from the viewpoint of threshold, established the BP artificial neural network model of sea water quality assessment using multi-layer neural network with error back-propagation algorithm. This model was used to assess water environment and obtain sea water quality categories of offshore area in Bohai Bay through calculating. The calculations shown that pollution index in river＇s wet season was higher than that in dry season from 2004 to 2007, and the pollution was particularly serious in 2005 and 2006, but a little better in 2007. The assessed results of cases shown that the model was reasonable in design and higher in generalization, meanwhile, it was common, objective and practical to sea water quality assessment. |
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| Keywords: | artificial neural network sea water quality training sample connection weight assessment |
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