| 运用自组织人工神经网络模型判别柑桔溃疡病始见期 |
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| 引用本文： | 蔡煜东 许伟杰. 运用自组织人工神经网络模型判别柑桔溃疡病始见期[J]. 植物病理学报, 1995, 25(1): 43-46 |
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| 作者姓名： | 蔡煜东 许伟杰 |
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| 作者单位： | 中国科学院上海冶金研究所, 上海 200050 |
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| 摘 要： | 1984-1990年运用T.Kohonen自组织人工神经网络模型系统观察甜橙新梢萌芽(始花)的时期及有关天气资料,建立了柑桔溃疡病始见期预测的计算机智能专家系统。经1991年春梢及幼果的柑桔溃疡病斑始见期验证,预测准确,历史回验,符合率达100%。
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| 关 键 词： | 柑桔溃疡病 专家系统 人工神经网络 T.Kohonen自组织模型 |
A SYNTHETIC ASSESSMENT OF BEGINNING OCCURRENCE STAGE OF CITRUS CANKER WITH SELF-ORGANIZATION OF ARTIFICIAL NEURAL NETWORK |
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| Cai Yudong,Xu Weijie. A SYNTHETIC ASSESSMENT OF BEGINNING OCCURRENCE STAGE OF CITRUS CANKER WITH SELF-ORGANIZATION OF ARTIFICIAL NEURAL NETWORK[J]. Acta Phytopathologica Sinica, 1995, 25(1): 43-46 |
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| Authors: | Cai Yudong Xu Weijie |
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| Affiliation: | Shanghai Institute of Metallurgy, Academia Sinica, Shanghai 200050 |
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| Abstract: | In this paper, T. kohonen self-organization of artificial neural network model was applied to establish computer intelligential expert system for assessment of beginning occurrence stage of citrus canker on the basis of the tip sprout stage of sweet orange and the climate in regular period. The data was obtained by systematic survey during 1984~1990. The expert system was used to predict the beginning occurrence stage of citrus canker on spring tip and young fruit in 1991. It showed that the histological coincidence was one hundred percent. |
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| Keywords: | Citrus canker Expert system Artificial neural networks T.Kohonen self-organization model |
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