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STUDY ON IMPROVED BP ARTIFICIAL NEURAL NETWORKS IN EUTROPHICATION ASSESSMENT OF CHINA EASTERN LAKES

机译:中国东湖富营养化评估中改进BP人工神经网络的研究

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摘要

An improved back propagation artificial neural network model for eutrophication evaluation of China eastern was constructed, and a new approach producing training set data, testing set data and critical values set data distributed a normal distribution between the critical values was established. The model was applied to 4 eastern lakes and the results shows that the method is suitable for eutrophication assessment of lakes.
机译:构建了一种改进的后传播人工神经网络模型,用于中国东部的富营养化评估,以及一种新的方法,生产训练集数据,测试集数据和关键值设置数据分布了临界值之间的正态分布。该模型应用于4个东湖泊,结果表明该方法适用于湖泊的富营养化评估。

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