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导向性遗传算法在仪表设计专家系统中的应用

Application of Oriented Genetic Algorithm on Expert System for Meter Design
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摘要 根据嵌入式智能仪表设计的基本原理、设计特点和关键技术,对传统遗传算法进行导向性定制并成功运用到专家系统设计平台的推理机当中,解决了大容量数据推理,时间上的可行性问题,并能够有效地运用专家多年积累的有效经验和专门知识,通过模拟专家的思维过程,快速地给设计人员提供近似最优解的设计建议和选择方案。 According to the fundamental principles, characters of design and key technologies of embedded intelligent meter design, traditional genetic arithmetic is tailored to be orientable and successfully applied into the reasoning machine of the expert system design platform. Thus, the feasibility problem of reasoning among huge amount of data is solved and the effective experience and expertise accumulated by experts through the years can be efficiently applied. By simulating the thinking process of experts, we can offer the designers suggestion of approximately best solution in design and optional schemes quickly.
出处 《现代机械》 2006年第3期41-45,共5页 Modern Machinery
关键词 遗传算法 专家系统 优化搜索 仪表设计 genetic algorithm expert system optimization search meter design
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