| 模式识别课程中的统计学方法概述 |
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| 引用本文： | 张彦,梁超,张涛.模式识别课程中的统计学方法概述[J].统计教育,2010(11):9-11. |
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| 作者姓名： | 张彦 梁超 张涛 |
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| 作者单位： | [1]郑州轻工业学院 [2]中国统计出版社 [3]解放军信息工程大学信息工程学院 |
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| 摘 要： | 模式识别是近年来迅速发展的一门学科,在工业、信息处理等领域有广泛应用。本文对模式识别、模式识别与统计学的关系进行了简单介绍,同时介绍了模式识别课程中两种基本的统计学方法：贝叶斯统计决策理论及概率密度估计理论。
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| 关 键 词： | 模式识别 模式识别课程 贝叶斯决策 概率密度估计 |
An Introduction to the Application of Statistical Theory in the Pattern Recognition Course |
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| Zhang Yan,Liang Chao,Zhang Tao.An Introduction to the Application of Statistical Theory in the Pattern Recognition Course[J].Statistical education,2010(11):9-11. |
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| Authors: | Zhang Yan Liang Chao Zhang Tao |
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| Institution: | Zhang Yan,Liang Chao,Zhang Tao |
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| Abstract: | Pattern recognition,a quickly developed academic subject,is widely used in industry and signal processing fields.The paper introduces pattern recognition and the relationship between pattern recognition and statistics and two basic statistical methods： statistical decision theory based on Bayesian and the evaluation of probability. |
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| Keywords: | Pattern recognition Pattern recognition course Bayesian decision Evaluation of probability density |
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