摘要
对森林培育专家系统的知识表示、知识库和推理机制进行深入研究,提出了一个采用产生式规则与框架表示法相结合的、适合不同地区通用的造林知识表示模式和推理机制。该模式符合专家的认知特点,方便专家的更新维护,改进了知识库中规则的存储方式,减少了推理规则的数量,解决了森林培育专家系统适应于不同地域的问题,实现了推理机与知识库的分离,并给出了知识库的结构与实例。在知识库的基础上给出了推理机的推理求解过程。该研究成果在"十一五"国家科技支撑计划课题"速生丰产林生产经营过程信息化关键技术研究与应用"的产品"森林培育专家系统"中进行了应用,取得了满意的结果。
Based on a series of studies on forestry expert system during the Tenth Five-Year 863 Plans of China,this study was conducted on the knowledge representation,knowledge base and reasoning mechanism of the silviculture expert system.We proposed a model of knowledge representation and reasoning mechanism adopting the production rule combined with the framework representation method to fit the demands of different regions.This model is in line with the cognitive characteristics of experts to facilitate the maintenance of experts to update and improve the storage way of the knowledge base,to reduce the number of inference rules,to make the expert system adapt to different regions,and to separate the inference engine from the knowledge base.The structure and example of the knowledge base are given,together with the reasoning process of the inference engine based on the knowledge base.The outcome of this study was applied in the 'Forest Cultivation Expert System' which comes from the National Eleventh Five-Year research in the subject of 'The Research and Application of Key Technologies in the Production and Management Process of Fast-Growing and High-Yield Plantation',and achieved satisfactory results.
出处
《北京林业大学学报》
CAS
CSCD
北大核心
2009年第S2期9-13,共5页
Journal of Beijing Forestry University
基金
"十一五"国家科技支撑计划项目(2006BAD10A03)
关键词
森林培育
造林设计
专家系统
决策支持系统
知识库
推理机
silviculture
plantation layout
expert system
decision support system
knowledge base
inference engine
