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Artificial neural network analysis for the eco-economic system of Ningbo City

机译:宁波市生态经济系统的人工神经网络分析

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Urban eco-economic system (UEES) is a multi-phase and non-linear complex system, and it is difficult to predict its behavior. Based on the concept of circular economy for eco-city construction, by using the artificial neural network (ANN) analysis method, this study predicted the scale and trend of urban eco-economic development of Ningbo City. In the analysis, 10 indicators including industrial output value and the proportion of tertiary industry were selected as the input layer and economic scale was used as the output layer to construct the ANN for the eco-economic development of Ningbo City. The network was trained by the actual elemental values of Ningbo City from 1999 to 2007. According to the network testing and operation results, suggestions on Ningbo eco-economic system development were presented.
机译:城市生态经济系统(UEE)是一种多相和非线性复杂系统,很难预测其行为。基于生态城市建设循环经济概念,采用人工神经网络(ANN)分析方法,本研究预测了宁波市城市生态发展的规模和趋势。在分析中,选择了10个指标,包括工业产值和第三产业的比例作为输入层和经济规模被用作输出层,以构建宁波市生态经济发展的安。从1999年到2007年,该网络受到宁波市的实际元素价值的培训。根据网络测试和运营结果,提出了关于宁波生态经济体系发展的建议。

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