摘要
针对目前搜索算法面向专家系统的设计所存在的不足,并依据专家系统知识表示和推理过程的特点,提出了一种基于生物地理学优化算法(BBO)的专家系统智能搜索算法,并阐述了基于BBO智能搜索算法的搜索方式更适用于专家系统设计过程的原因。本研究将番茄病害结果的可能性作为自适应函数,构建了番茄病害专家系统,并利用BBO算法搜索可能性最大的番茄病害结果。
According to knowledge representation and reasoning process of expert system, intelligent search algorithm based on biogeography-based optimization （BBO） for search mechanism of expert system was developed to overcome the shortage of current search methods of design of expert system, and its advantage was described. Tomato disease expert system was established with fitness function of the disease result possibility, and BBO approach was made and used for searching the results of the most suitable tomato disease.
出处
《中国植保导刊》
北大核心
2014年第1期10-14,23,共6页
China Plant Protection
基金
辽宁省科学事业研究基金(2011005004)
关键词
番茄病害专家系统
生物地理学优化算法
智能搜索算法
expert system of tomato disease, biogeography-based optimization, intelligent search algorithm
