| 基于人工神经网络技术的蔬菜施肥决策研究 |
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| 引用本文： | 陆海燕,李萍萍,毛罕平.基于人工神经网络技术的蔬菜施肥决策研究[J].中国农机化,2004,49(5):20-22. |
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| 作者姓名： | 陆海燕 李萍萍 毛罕平 |
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| 作者单位： | 1. 江苏大学机械工程学院,212013,江苏镇江
2. 江苏大学研究生部 |
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| 摘 要： | 阐述神经网络的概念和特点，着重介绍BP神经网络并在Maflab环境下建立基于BP神经网络的施肥模型，以土壤养分（氮、磷、钾)和实际产量为模型输入，以氮肥、磷肥和钾肥的施用量为模型数输出．进行网络训练，直至获得满意的施肥模型。结合投入产出物的价格对模型功能进行扩展，按利润最大化目标进行施肥决策。
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| 关 键 词： | 人工神经网络 蔬菜 施肥决策 土壤养分 |
| 文章编号： | 1006-7205(2004)05-0020-03 |
| 修稿时间： | 2004年4月26日 |
Study on Fertilization Decision-Making in Vegetable Based on Neural Network |
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| LU Hai-yan,LI Ping-ping,MAO Han-ping.Study on Fertilization Decision-Making in Vegetable Based on Neural Network[J].Chinese Agricul Tural Mechanization,2004,49(5):20-22. |
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| Authors: | LU Hai-yan LI Ping-ping MAO Han-ping |
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| Abstract: | The concept and characteristic for Artifical Neural Network are described. BP Artifical Neural Network and Fertilization model based on BP Artifical Neural Network in the Matlab system are introduced emphatically. The inputs of model are soil nutrients (N,P,K) and yield goal, the outputs are application rate of fertilizer (N,P,K). These data are trained in network until the ideal fertilization model is obtained, and integrate the price of the inputs and outputs matter to enlarge the function of model. |
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| Keywords: | Artifical Neural Network fertilization decision making |
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