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本文在分析影响专家系统效率的主要因素基础上,提出了一种基于光并行匹配的专家系统模型ESBOPM及其光电混合型硬件支持系统。在ESBOPM中,为了适应光并行匹配的需要采用了知识的类产生式表示方法、知识编码、知识匹配操作并行化等技术。在硬件支持系统方案中,利用光信息处理技术并行化特点实现匹配操作并行化的硬件支持。性能分析和实验结果表明ESBOPM及其硬件支持系统是有效的、合理的并且能显著地提高专家系统响应速度。
Based on the analysis of the main factors affecting the efficiency of expert system, this paper presents an expert system model based on optical parallel matching ESBOPM and optoelectronic hybrid hardware support system. In ESBOPM, in order to adapt to the need of optical parallel matching, we use the class-based representation of knowledge, knowledge coding and parallelism of knowledge matching. Hardware support system solutions, the use of optical information processing technology to achieve the parallelization of matching operations parallel hardware support. Performance analysis and experimental results show that ESBOPM and its hardware support system are effective, reasonable and can significantly improve the response speed of expert system.