| 粗糙BP网络在葡萄病害分类中的应用 |
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| 引用本文： | 倪玉霏,吴昊,韩芳芳,温安,顾兴军. 粗糙BP网络在葡萄病害分类中的应用[J]. 计算机工程与应用, 2012, 48(29): 239-242,248 |
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| 作者姓名： | 倪玉霏 吴昊 韩芳芳 温安 顾兴军 |
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| 作者单位： | 西北农林科技大学信息工程学院,陕西杨凌,712100 |
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| 基金项目： | 国家高技术研究发展计划(863)(No.2006AA100208-2);西北农林科技大学科技创新项目支持;西北农林科技大学人才资金资助(No.01140409) |
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| 摘 要： | 粗糙集无需提供问题所需处理的数据集合之外的任何先验信息,是一种通过知识约简,消除冗余数据的软计算方法；BP神经网络是一种通过自身的学习机制自动形成所要求的决策区域技术.综合了粗糙集和BP神经网络的各自优势,构建了一种新颖的葡萄病害分类模型.测试结果表明,所建模型对葡萄病害分类是行之有效的.
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| 关 键 词： | 粗糙集 BP神经网络 葡萄病害 分类模型 |
Application of rough BP neural network in grape diseases classification |
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| NI Yufei , WU Hao , HAN Fangfang , WEN An , GU Xingjun. Application of rough BP neural network in grape diseases classification[J]. Computer Engineering and Applications, 2012, 48(29): 239-242,248 |
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| Authors: | NI Yufei WU Hao HAN Fangfang WEN An GU Xingjun |
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| Affiliation: | College of Information Engineering,Northwest A&F University,Yangling,Shaanxi 712100,China |
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| Abstract: | Rough set,without providing any prior information but the necessary data sets,is a soft computing method through reducing the original data to eliminate redundant data.BP neural network is a technique which automatically forms the required decision-making region through its own learning mechanism.Considering the advantages of rough set theory and BP neural network in information disposal,this paper constructs a novel classification model of grape diseases.The results show that the model of grape diseases is feasible and effective. |
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| Keywords: | rough set theory BP neural network grape diseases classification model |
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