基于CBR勘探平巷掘进范例库的研究与开发  

Study and Development of the Prospecting Drifting Case Dadabase Based on CBR Thought

作　　者：王树理[1] 王成虎[1] 郑秀华[1] 吕科验[1] 

机构地区：[1]中国地质大学工程技术学院,北京100083

出　　处：《东华理工学院学报》2004年第3期220-224,共5页Journal of East China Institute of Technology

基　　金：中国地质调查局"钻掘工程设计软件"项目 (1 2 1 2 0 1 0 3670 2 )

摘　　要：CBR方法是近年来人工智能领域非常先进和实用的方法 ,在众多领域中都获得了巨大的成功 ,为了充分实现勘探平巷掘进施工技术中的人工智能思想 ,笔者基于CBR方法开发了勘探平巷掘进施工范例库。文章介绍了基于范例推理思想及其设计方法 ,结合勘探平巷掘进施工技术……工程实例利用CBR的基本原理做成范例库 ,同时介绍了如何进行范例的搜索、改写与复用以及机器学习等问题。通过该范例库的建立 。CBR method is a very advanced and practical method in the artificial intelligence area in the recent years, and has won great successes in many fields. In order to fully realize the artificial intelligence thought in the prospecting drifting technology based on the CBR method. In this paper, the thought and design method of the rather advanced case-based reasoning theory have been introduced; by combining the characteristics of the construction technologies of prospecting drifting, the successful prospecting drifting cases finished by the predecessors shall be made into a case base according to the basic principles of CBR; at the same time, how search the bases, to amend and reuse the cases and the machine learning problems are also introduced in this paper. The case base shall be inset in the software for the aid design of prospecting construction technologies to improve the intelligence-design function of the softward.

关 键 词：范例库 CBR 人工智能 基于范例推理 机器学习 搜索 复用 平巷 掘进施工 勘探 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TD263[自动化与计算机技术—控制科学与工程]