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分类器系统的研究与应用
  • ISSN号：1673-2782
  • 期刊名称：《福建电脑》
  • 时间：0
  • 分类：TP274.3[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] TP391.9[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]漳州师范学院计算机科学与工程系,福建漳州363000, [2]漳州师范学院计算中心,福建漳州363000
  • 相关基金：国家自然科学基金资助项目（60874113）,漳州师范学院科举研究资助项目（SK08002）
作者： 周豫苹[1], 郑荔萍[2]
关键词： 学习分类器系统, 遗传算法, 神经网络, 增强学习
中文摘要：

分类器作为一种认知的计算模型和复杂自适应系统的建模工具,已经被广泛地应用到自适应机器人学、有效的分类及数据挖掘中。本文首先介绍了学习分类器的研究历史,同时深入分析近年来分类器系统的四大主要组件的发展、系统结构延伸的方案和关于学习分类器系统工作理论的发展、研究现状,并在此基础上进一步分析了目前学习分类器系统在多个领域的应用情况。

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期刊信息
  • 《福建电脑》
  • 主管单位:福建省科学技术厅
  • 主办单位:福建省计算机学会
  • 主编：王晓东
  • 地址：福州市鼓楼区树汤路66号凯旋花园4#501
  • 邮编：350003
  • 邮箱：fjdnbjb@vip.163.com
  • 电话：0591-87814718
  • 国际标准刊号：ISSN：1673-2782
  • 国内统一刊号：ISSN：35-1115/TP
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:15647