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| 粗糙神经网络在施肥决策系统中的应用 | |
| 引用本文： | 吴昊. 粗糙神经网络在施肥决策系统中的应用[J]. 农机化研究, 2010, 32(3) |
| 作者姓名： | 吴昊 |
| 作者单位： | 西北农林科技大学,信息工程学院,陕西,杨凌,712100 |
| 基金项目： | 西北农林科技大学人才资金项目(01140409);;国家高技术研究发展计划项目(2006AA100208-2) |
| 摘 要： | 针对施肥过程中普遍存在的非线性和不确定性问题,构建了基于粗糙集理论和神经网络相结合的施肥决策系统模型。该方法应用粗糙集理论对神经网络的输入数据进行预处理,提取其中的关键成分作为神经网络的输入,提高网络的收敛速度和逼近速度,并以芸豆在同一农田重复进行种植的实验数据进行验证。结果表明,此模型不仅较公平、合理,而且提高了神经网络模型的学习效率。 |
| 关 键 词： | 粗糙集 神经网络 施肥决策 |
Application on Fertilizing Decision System Based on Rough Set Theory and Neural Network |
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| Wu Hao. Application on Fertilizing Decision System Based on Rough Set Theory and Neural Network[J]. Journal of Agricultural Mechanization Research, 2010, 32(3) | |
| Authors: | Wu Hao |
| Affiliation: | College of Information Engineering/a>;Northwest A&F University/a>;Yangling 712100/a>;China |
| Abstract: | Facing the universal problems of nonlinearity and uncertainty in fertilizing process,the paper constructs the model of fertilizing decision system based on rough set theory and artificial neural Network.The data to put into neural Network were pretreated using rough set theory,and extract the essential elements as the input of neural Network,to improve the rate of convergence and approaching of neural network.Based on the experiment that beans were planted repeatedly in the same field,the paper comes to the... |
| Keywords: | rough set theory neural network fertilizing decision |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |