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模式识别与智能计算 书本代码

于 2022-01-31 发布 文件大小:159.84 kB
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本书广泛吸收统计学,神经网络,数据挖掘,机器学习,人工智能,群智能计算等学科的先进思想和理论,将其应用到模式识别领域中,全书共13章:模式识别概述,特征的选择与提取,模式相似性测试,贝叶斯分类器设计,判别函数分类器设计,神经网络分类器设计,决策树分类器,粗糙集分类器,聚类分析,模糊聚类分析,遗传算法聚类分析,蚁群算法聚类分析,粒子群算法聚类分析

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