| GM(1,n)和BP神经网络在福州市建成区用地预测中的应用比较 |
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| 引用本文： | 姜志法,雷波,张文开.GM(1,n)和BP神经网络在福州市建成区用地预测中的应用比较[J].水资源与水工程学报,2007,18(5):100-103. |
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| 作者姓名： | 姜志法 雷波 张文开 |
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| 作者单位： | 福建师范大学,地理科学学院,福州,福建,350007 |
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| 摘 要： | 城市规模扩展导致耕地急剧减少,研究城市规模对于保护耕地,提高城市用地集约度有重要意义。本研究分析了1998年~2005年期间福州市城市规模的变化趋势,以福州市建成区为例对GM(1,n)和BP神经网络在此类研究中的应用进行了对比。经检验,BP神经网络比灰色模型拟合良好,这是对建成区面积预测方法有益的探索。
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| 关 键 词： | BP神经网络 城市用地 |
| 文章编号： | 1672-643X（2007）05-0100-04 |
| 收稿时间： | 2007-04-25 |
| 修稿时间： | 2007-06-15 |
Comparison of GM(1,n) and BP neural network model in predicting the construction lands in Fuzhou City |
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| JIANG Zhi-fa,LEI Bo,ZHANG Wen-kai.Comparison of GM(1,n) and BP neural network model in predicting the construction lands in Fuzhou City[J].Journal of water resources and water engineering,2007,18(5):100-103. |
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| Authors: | JIANG Zhi-fa LEI Bo ZHANG Wen-kai |
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| Affiliation: | School of Geographical Sciences, Fujian Normal University, Fuzhou, Fujian 350007, China |
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| Abstract: | The expand of city occupies lots of cultivate land,the research on construtcion land areapredicting is significant.This paper analyzes the tendency of Fuzhou city scale change between1998 and 2005,comparing the gray model and BP neural network model in predicting the construction land area.The effect has shown BP neural network model is more precision.It hopes that it can contribute to the study on predicting method. |
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| Keywords: | GM(1 n) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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