This article adopts several machine-learning techniques including machine-learning method based on user " s feedbacks, machine-learning method based on observing, inductive method based on id3 algorithm, heuristic learning method, knowledge base technique . the system has good intelligence and agency 本文采用了以下几种机器学习技术:基于用户反馈的机器学习技术、基于观察记忆的机器学习方法、基于id3算法的归纳推理、启发式学习方法、知识库技术,系统具有较好的自主性和代理性。
Based on nt 4.0 operating system and the sql sever 2000 database, building the system needs using multiple languages, such as microsoft visual basic 6.0, etc . building the financial diagnosis system needs sufficiently utilize different advanced techniques of software engineering, such as object oriented, groupware technique, the well combination of the knowledge base technique and the data storehouse digging technique to develop expert system, which causes the system has many characteristics, such as simple operation, good stability, good maintainability, and so on 本系统开发基于nt4.0操作平台,采用sqlsever2000数据库和microsoftvisualbasic6.0开发语言。系统开发充分利用现代软件开发的各种先进技术和理念,如面向对象技术、组件技术等;并利用知识库技术与数据挖掘技术的良好结合来开发专家库,使所开发的系统具有操作简易、稳定性好、可维护性好等特点。