摘要
将人工智能技术、GIS技术、数据库技术、网络技术有机结合和系统集成,设计了一个可以对森林病虫害的发生期、发生量和发生区域进行预测预报的网络专家系统。系统采用多种类型的数据库作为推理机的数据源,并构建了动态预测模型,使得对森林病虫害预测预报更加全面、有效、科学。
Artificial intelligence, GIS and database technologies are reasonably integrated in designing a forecast expert system, which could predict the occurrence period, occurrence quantity and occurrence area. Several types of database are used as data source of reasoning machine, and a dynamic prediction model is established, which makes the forecast more accurate, effective and scientific.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2008年第1期79-80,82,共3页
Journal of Northeast Forestry University
基金
黑龙江省发展信息产业专项资金项目
