| 用自组织学习联想神经网络识别白云岩类型 |
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| 引用本文： | 蔡煜东,陆文聪.用自组织学习联想神经网络识别白云岩类型[J].华东地质学院学报,1996(2). |
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| 作者姓名： | 蔡煜东 陆文聪 |
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| 作者单位： | 中国科学院上海生物工程研究中心，上海大学化学系 |
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| 摘 要： | 本文利用地球化学数据和自组织学习联想神经网络（ＬＡＮＮＳＯ），对美国密苏里州东南Ｂｏｎｎｅｔｅｒｒｅ组（寒武纪）滨外相的白云岩进行了分类、识别，判别率达１００％．结果表明，该方法性能良好，可望成为岩石分类、判别的有效手段．
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| 关 键 词： | 地球化学数据 白云岩 人工神经网络 自组织学习联想神经网络（LANNSO） |
Recognizing the Type fo Dolomite by Learning Associations Nervous Nets by Self-orga nization |
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| Cai Yidong.Recognizing the Type fo Dolomite by Learning Associations Nervous Nets by Self-orga nization[J].Journal of East China Geological Institute,1996(2). |
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| Authors: | Cai Yidong |
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| Abstract: | The offshore facies dolomite of Bonneterre formation which is located in southeast Missouri in USA is classified and recognized by geochemital data and learning associations nervous nets by self-organhation.The differentiate rate reaches 100%.The result showes that it is a good method and will be the effective method for rock classification and recognition. |
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| Keywords: | geochemical data dolomite artificial nervous nets Learning Associatlons Nervous Nets by Self-Organization(LANNSO) |
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