| 自组织人工神经网络在滇东震旦系—寒武系分界线岩相古地理研究中的应用 |
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| 引用本文： | 蔡煜东,杨兵,汤军彪.自组织人工神经网络在滇东震旦系—寒武系分界线岩相古地理研究中的应用[J].西北地质科学,1993(2). |
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| 作者姓名： | 蔡煜东 杨兵 汤军彪 |
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| 作者单位： | 中国科学院上海冶金研究所，中国科学院上海冶金研究所，中国科学院上海冶金研究所 上海，200050，上海，200050，上海，200050 |
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| 摘 要： | 运用T.Kohonen自组织人工神经网络,根据滇东24个剖面的渔户村组中谊村段的各种单元素(包括岩段厚度、组成岩段的岩石薄片单因素-白云质、硅质、泥质、磷质、陆屑及盆屑,和岩段的24种光谱元素)的统计资料,建立了该地区震旦系-寒武系分界线的岩相古地理相区识别的计算机智能专家系统,其识别成功率达100％。结果表明,该方法性能良好,可望成为岩相古地理定量研究的一种有效的辅助手段。
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| 关 键 词： | 岩相古地理 相区识别 人工神经网络 T.Kohonen自组织模型 |
THE APPLICATON OF ARTIFICILA NEURAL NETWORK TO THE STUDY OF LITHOFACIES PALEOGEOGRA-PHY NEAR THE SINIAN-CAMBRIAN BOUNDARY IN THE EASTERN YUNAN |
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| Cai Yudong Yang Bing and Tang Junbiao.THE APPLICATON OF ARTIFICILA NEURAL NETWORK TO THE STUDY OF LITHOFACIES PALEOGEOGRA-PHY NEAR THE SINIAN-CAMBRIAN BOUNDARY IN THE EASTERN YUNAN[J].Northwest Geoscience,1993(2). |
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| Authors: | Cai Yudong Yang Bing and Tang Junbiao |
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| Abstract: | Based on the statistics of various individual factors of its components of the Zhongyicun member of Yuhucun Formation in 24 sections on the eastern Yunan(including thickness of member, dolomite, silica, muddy, phosphorus, terrigenous calstic, basin fragment etc, by thin section determination and 24 elements by spectrum analysis), the intelligent computer expert system for the recognition of facies regions of lithofacies paleogeography near the Sinian-Cambrian boundary in this district was constructed. The successful rate reached 100%. The results show that the performance of the neural network approach is goody and therefore it might be referred as an effective assistant technique for quantitatively research on lithofacies paleogeography. |
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| Keywords: | lithofacies paleogeography recognition of facies regions self-ordanization artificial neural network T Kohonen Model |
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