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中国农学通报

中国农学通报 ›› 2011, Vol. 27 ›› Issue (6): 447-450.

所属专题： 耕地保护

• 农业信息 • 上一篇    下一篇

BP人工神经网络在土地集约利用评价中的应用研究——以浙江省遂昌工业园区为例

李焕 徐建春 徐知渊 林增   

  • 收稿日期:2010-11-29 修回日期:2010-12-10 出版日期:2011-03-20 发布日期:2011-03-20
  • 基金资助:

    浙江省社科联资助项目;浙江省新苗人才计划

The Evaluation of Intensive Land Use in the Development Zone Based on BP Artificial Neural Network A Case of Zhejiang Suichang industrial park

  • Received:2010-11-29 Revised:2010-12-10 Online:2011-03-20 Published:2011-03-20

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摘要：

为了探索土地集约利用评价的新途径，笔者尝试运用BP人工神经网络模型及实证分析的方法对浙江省遂昌工业园区的土地集约利用水平进行评价。研究结果表明，遂昌工业园区的土地集约利用程度在浙江省处于中下水平，导致集约度偏低的主要原因在于土地建成率不高，工业用地产出强度和固定资产投入强度偏低。并得出以下研究结论，BP人工神经网络体现了土地集约利用评价的科学性与合理性，能很大程度上避免人为因素对评价结果的影响，具有很强的实际应用价值。

关键词: 玉米 LAI LAI-2000 Sunscan 植物冠层分析仪, 玉米 LAI LAI-2000 Sunscan 植物冠层分析仪

Abstract:

Based on the BP artificial neural network and empirical analysis, this study tried to explore the suitable method for the evaluation of land intensive use. Results showed that the score of Suichang industrial park belonged to the lower level in Zhejiang. The main reasons were that completion rate, output intensity and intensity of investment in fixed assets were low. And drawing the following conclusion, BP artificial neural network didn’t only avoid the impact of man-made factors on the evaluation results, but also had a strong potential for practical application.