| 统计模式识别的研究 |
| |
| 引用本文： | 接标,刘冠晓,冯乔生. 统计模式识别的研究[J]. 云南师范大学学报(自然科学版), 2005, 25(6): 19-21,38 |
| |
| 作者姓名： | 接标 刘冠晓 冯乔生 |
| |
| 作者单位： | 云南师范大学计信学院,云南,昆明,650092 |
| |
| 摘 要： | 模式识别的基本目标就是在有监督和无监督的情况下进行分类,在模式识别的各种模型中,基于统计的方法已经被广泛的研究并应用于实际.一些新的技术和方法的引入（神经网络和支持向量机方法）也促进了该领域发展,文章研究了基于统计的模式识别的进展情况,给出了模式识别的概念、原理、方法并对各种方法进行了相关的评述.
|
| 关 键 词： | 模式 模式识别 神经网络 特征选择 支持向量机 |
| 文章编号： | 1007-9793（2005）06-0019-03 |
| 收稿时间： | 2005-05-31 |
| 修稿时间： | 2005-05-31 |
Research of Statistical Pattern Recognition |
| |
| JIE Biao,LIU Guan-xiao,FENG Qiao-sheng. Research of Statistical Pattern Recognition[J]. Journal of Yunnan Normal University (Natural Sciences Edition), 2005, 25(6): 19-21,38 |
| |
| Authors: | JIE Biao LIU Guan-xiao FENG Qiao-sheng |
| |
| Affiliation: | Department of Computer Science and Information Technology, Yunnan normal university, Kunming 650092, China, China |
| |
| Abstract: | the primary goal of pattern recognition is supervised or unsupervised classification.Among the various models,the statistical approach has been intensively studied and used in practice.More recently,new techniques and methods(neural network and support vector machine) boost developments of statistical pattern recognition.This paper researches recent developments of statistical pattern recognition,and give the concepts?principal ?methods of recognition and some comments about these methods. |
| |
| Keywords: | pattern pattern recognition neural network feature selection support vector machine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
