The Study of Ant Colony Algorithms Application in Distributed Intelligent Question Answer System

ZHENG Geng-zhong; LIU Qiu-mei

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The Study of Ant Colony Algorithms Application in Distributed Intelligent Question Answer System

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- The Study of Ant Colony Algorithms Application in Distributed Intelligent Question Answer System
- Vol. 27, Issue 6, Pages: 50-53(2010)
- 作者机构：
  
  1. 1 韩山师范学院数学与信息技术系,广东,潮州,521041
  2. 2 韩山师范学院机构图书馆,广东,潮州,521041
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
郑耿忠, 刘秋梅. 蚁群算法在分布式智能答疑系统中的应用研究[J]. 微电子学与计算机, 2010, 27(6): 50-53.

ZHENG Geng-zhong, LIU Qiu-mei. The Study of Ant Colony Algorithms Application in Distributed Intelligent Question Answer System[J]. 2010, 27(6): 50-53.
郑耿忠, 刘秋梅. 蚁群算法在分布式智能答疑系统中的应用研究[J]. 微电子学与计算机, 2010, 27(6): 50-53. DOI：

ZHENG Geng-zhong, LIU Qiu-mei. The Study of Ant Colony Algorithms Application in Distributed Intelligent Question Answer System[J]. 2010, 27(6): 50-53. DOI：

摘要

针对分布式智能答疑系统的特点

在对基于蚁群优化的分类规则发现算法研究的基础上

提出了分布式蚁群智能分类算法

并对该算法在分布式智能答疑系统中的应用进行了分析和测试.实践证明

该算法能有效地对分布式智能答疑系统的范例库进行数据挖掘

进一步提高智能答疑系统检索的效率和智能性

使分布式智能答疑系统的应用进入一个新台阶.

Abstract

According to the characteristic of Distributed Intelligent Question Answer System (IQASD)

the paper afford intelligent classify algorithm of distributing ant colony based on the study of ant colony optimization for classify rule discovery

analyzing and testing the algorithms application in case bases data mining of IQASD.Practices prove that the algorithm can mining data of IQASDs case base in effect

make IQASDs searching more efficiency and intelligently

promote IQASDs application enter a new step.

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