摘要
本文在总结机器学习理论与方法的基础上，提出一个基于机器学习理论的ＩＤＳＳ新框架：该框架以产生式系统中谓词演算作为表示系统，以机器学习作为模型操纵知识获取与精确的基本方法，从而实现智能化模型操纵，使系统的性能通过自学习的过程不断改善。
In this paper, a new machine learning-based framework of IDSS is presented, in which predicate caculus within production systems is adopted as its representation system and machine learning--based method is used to acquire and modify model manipulation knowledge.As the model manipulation experience is accumulated through the self-study mechanism, the efficiency of the whole system is gradually improved.
关键词
机器学习
人工智能
决策支持系统
模型操纵
machine learning
artificial intelligence
model manipulation
decision support system
