| The Probability Neural Network for Lithologic Idenfication |
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| 作者姓名： | (School of Computer Science Xi' an Shiyou University Xi' an Guojian Cheng Guanwu Zhou Xiaoxiao Wang |
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| 作者单位： | (School of Computer Science，Xi' an Shiyou University，Xi' an 710065 |
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| 基金项目： | Program supported by National NaturalScience Foundation of China(40572082) |
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| 摘 要： | This paper studies lithologic identification from log information based on PNN(Probability Neural Network).The models lithologic identification of log interpretation has been built and is applied to predict the testing samples.The prediction result has higher consistency with the practical cases.The prediction and convergence rate have been greatly improved compared to the tradi-tional BP Neural Networks,and the computational complexity has also been greatly reduced.The results show that the PNN is very promising for the application of lithologic identification.
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The Probability Neural Network for Lithologic Idenfication |
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| (School of Computer Science,Xi' an Shiyou University,Xi' an Guojian Cheng Guanwu Zhou Xiaoxiao Wang.The Probability Neural Network for Lithologic Idenfication[J].Control & Automation,2007(16). |
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| Authors: | Guojian Cheng Guanwu Zhou Xiaoxiao Wang |
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| Affiliation: | (School of Computer Science,Xi' an Shiyou University,Xi' an 710065) Guojian Cheng Guanwu Zhou Xiaoxiao Wang |
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| Abstract: | This paper studies lithologic identification from log information based on PNN(Probability Neural Network).The models lithologic identification of log interpretation has been built and is applied to predict the testing samples.The prediction result has higher consistency with the practical cases.The prediction and convergence rate have been greatly improved compared to the tradi-tional BP Neural Networks,and the computational complexity has also been greatly reduced.The results show that the PNN is very promising for the application of lithologic identification. |
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| Keywords: | Probability Neural Network lithologic identification prediction and identification |
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