Design of afforestation and decision-making knowledge base and research of inference engine algorithm in the silviculture expert system
WU Bao-gu · Beijing Linye Daxue xuebao · 2009
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.