农业智能系统的知识获取技术研究  

Research on Technologies of Knowledge Acquisition for Agricultural Intelligent System

作　　者：熊范纶[1] 董俊[1] 

机构地区：[1]中国科学院合肥智能机械研究所,安徽合肥230031

出　　处：《信息与控制》2012年第4期477-484,共8页Information and Control

基　　金：国家863计划资助项目(863-306-ZD05-01-3;863-306-408-2;863-306-64-09;863-306-04-03;2006AA102249);国家自然科学基金重点基金资助项目(69835001);国家自然科学基金资助项目(69045001;69445001)

摘　　要：作者及其团队长期针对农业领域的知识获取技术进行了系列性研究.阐述了运用智能引导、机器学习、数据挖掘、智能计算等技术的人工和自动/半自动的知识获取方法.这些方法能够有效地获取领域知识,发现隐含模式,进行知识精化.研发了知识获取工具.这些方法和工具反映了知识获取技术对农业信息工程所起的重要作用.A series of studies on knowledge acquisition technology for agriculture domain have been accomplished by the authors and their team for a long term. The artificial and automatic/semi-automatic knowledge acquisition methods using intelligent leading, machine learning, data mining and intelligent computing etc. are described. These methods can acquire domain knowledge more effectively, discovery the potential patterns, and refine the knowledge. And the tools for knowledge acquisition are developed. The methods and the tools show that the knowledge acquisition technology plays an important role in information engineering of agriculture.

关 键 词：知识获取 机器学习 数据挖掘 知识获取工具 农业智能系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]