本文介绍一种用结合启发性推理和基于模型的推理来改善专家系统问题求解能力的方法。
This paper describes an approach to improving the problem solving ability of expert systems by using both heuristic and model-based reasoning.
定量问题求解系统，是人工智能和专家系统研究领域的一个重要课题。
Quantitative problem solving system is one of the research topics in the area of artificial intelligence and expert systems.
专家系统作为人工智能技术的一个重要分支，己经成为工程技术领域复杂问题求解的重要手段。
As an important branch of artificial intelligence technology, expert system has become the main method to solve complex problems in engineering.
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