| 基于人工神经网络的绥化市县域经济发展水平分析 |
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| 引用本文： | 张淑花,周利军.基于人工神经网络的绥化市县域经济发展水平分析[J].资源开发与市场,2007,23(4):296-297,302. |
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| 作者姓名： | 张淑花 周利军 |
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| 作者单位： | 绥化学院地理系,黑龙江,绥化,152061 |
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| 基金项目： | 绥化市寒地黑土经济与文化研究专项资助项目 |
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| 摘 要： | 选取8个经济指标，运用人工神经网络（ANN）的理论和方法，构建应用最为广泛的BP网络模型，对2004年绥化市10个县市的经济发展水平进行了评价。结果表明，绥化市县域经济发展水平差异十分显著，其中肇东等3县域属于高水平类型，海伦等4个县域为中等类型，明水等3个县域属于落后类型。
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| 关 键 词： | 县域经济 人工神经网络 绥化市 |
| 文章编号： | 1005-8141（2007）04-0296-02 |
| 修稿时间： | 2007-02-092007-03-19 |
Analysis on Economics of Counties Based on Artificial Neural Networks in Suihua City |
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| ZHANG Shu-hua,ZHOU Li-jun.Analysis on Economics of Counties Based on Artificial Neural Networks in Suihua City[J].Resource Development & Market,2007,23(4):296-297,302. |
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| Authors: | ZHANG Shu-hua ZHOU Li-jun |
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| Institution: | Deparment of Geography,Suihua College,Suihua 152061 ,China |
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| Abstract: | Application of ANN theory and method,adopting 8 economic indexes,the authors developed BP neural network model with 8 neurons in input layer,3 neurons in hidden layer and 1 neuron in output layer in economic development level evaluation,with which Suihua economic development level in 2004 was evaluated.The run results of BP showed that the spatial difference of economical development level among county regions was very evident,and divided all the 10 counties into 3 types:advanced counties including 3 counties such as Zhaodong,middle counties including 4 counties such as Hailun,and depressed counties including 3 counties such as Mingshui. |
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| Keywords: | BP |
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