| 基于神经网络的资源型城市可持续发展指标体系 |
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| 引用本文： | 朱明峰,洪天求,叶强.基于神经网络的资源型城市可持续发展指标体系[J].中国科学技术大学学报,2005,35(3):423-428. |
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| 作者姓名： | 朱明峰 洪天求 叶强 |
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| 作者单位： | 1. 合肥工业大学资源与环境学院,安徽,合肥,230009
2. 合肥工业大学管理学院,安徽,合肥,230009 |
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| 基金项目： | 国家教育部基金项目(jyb200008B2). |
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| 摘 要： | 以BP神经网络为模型，借助Matlab语言对某资源型城市的国民经济和可持续发展指标进行了分析预测，在数据采集和预处理的基础上，设计程序来对网络进行训练，用训练好的神经网络预测未来的指标数据，并利用预测数据对城市发展趋势进行分析，为资源型城市发展模式的选择提供依据．
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| 关 键 词： | 资源型城市 可持续发展指标体系 BP神经网络 指标预测 |
| 文章编号： | 0253-2778(2005)03-0423-06 |
| 修稿时间： | 2004年9月17日 |
Sustainable Development Indicator Forecasting for Resource-Based Cities Based on Neural Network |
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| ZHU Ming-feng,HONG Tian-qiu,YE Qiang.Sustainable Development Indicator Forecasting for Resource-Based Cities Based on Neural Network[J].Journal of University of Science and Technology of China,2005,35(3):423-428. |
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| Authors: | ZHU Ming-feng HONG Tian-qiu YE Qiang |
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| Institution: | ZHU Ming-feng~1,HONG Tian-qiu~1,YE Qiang~2 |
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| Abstract: | The system of sustainable development of resource-based cities is a complex giant system, which is composed of three interactional and interdependent basic levels; nature system, economic system and social system. Artificial neural network is nonlinear, with other properties such as parallel distributed processing and self-studying. So it can simulate the system of sustainable development of a resource-based city realistically. Based on neural network's BP module, MATLAB is employed to analyze and forecast the indicators of economic and sustainable development of one resource-based city. Through data collection and pretreatment, the neural network module was trained, which was then used to forecast future indicators. |
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| Keywords: | resource-based city indicator system of sustainable development back propagation neural network indicators forecast |
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