| 基于人工神经网络农用地分等研究Ⅰ.分等模型与精度检测 |
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| 引用本文： | 唐南奇,谭明军.基于人工神经网络农用地分等研究Ⅰ.分等模型与精度检测[J].福建农林大学学报(自然科学版),2004(2). |
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| 作者姓名： | 唐南奇 谭明军 |
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| 作者单位： | 福建农林大学资源与环境学院，福建农林大学资源与环境学院 福建福州350002，福建福州350002 |
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| 基金项目： | 福建省教育厅资助项目(JA002211). |
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| 摘 要： | 基于BP人工神经网络(BP-ANN)原理,针对农用地分等的问题,设计了BP神经网络农用地分等模型和精度检测方法.结果表明:BP-NN农用地分等模型通过少量典型样本的训练和学习后,可简便、快捷地计算出大规模待定样本的分等综合指数;其泛化功效和精度检测也符合要求.
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| 关 键 词： | 神经网络 农用地 分等 |
Grade of farming land by artificial neural networkⅠ.The model for grade of farming land and accuracy measurement |
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| TANG Nan-qi,TAN Ming-jun.Grade of farming land by artificial neural networkⅠ.The model for grade of farming land and accuracy measurement[J].Journal of Fujian Agricultural and Forestry University,2004(2). |
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| Authors: | TANG Nan-qi TAN Ming-jun |
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| Abstract: | Based on the theory of BP artificial neural network (BP-ANN), the model for grade of farming land and accuracy measurement were designed. The results from the application to the grade of farming land showed that the grade composition indexes of a large amount of samples could be simply and quickly calculated with the BP-ANN classification model after training and studying a small amount of typical samples, and its popularization function and accuracy also met the expectations. |
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| Keywords: | neural network farming land grade |
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