Title :
CBR Based System Development of Bamboo Snout Moth Forecasting
Author :
Guang-qun, Zhang ; Bao-ping, Wang ; Hang-jun, Wang
Author_Institution :
Sch. of Inf. Eng., Zhejiang Forestry Coll., Lin´´an, China
Abstract :
Two layers case representation pattern in case based reasoning (CBR) is proposed in this paper, and applied to bamboo snout moth forecasting. It solves the case representation problem of macro-year and micro-day attribute data. Then the corresponding search method based on two layers is given,which can improve the efficient and effective work in case matching. At last, it develops a bamboo snout moth forecasting system based on two layers ideas by Microsoft language tool, Visual C++ 6.0, and puts it to use forecasting the occurrence of Anji bamboo snout moth. Through a comparative analysis by actual survey data, it shows that the system has reached the desired effect.
Keywords :
C++ language; case-based reasoning; forecasting theory; forestry; Anji bamboo; Microsoft language tool; Visual C++ 6; bamboo snout moth forecasting; case based reasoning; case matching; case representation pattern; system development; Computational modeling; Computer simulation; Diseases; Educational institutions; Forestry; Information technology; Libraries; Marine animals; Predictive models; Search methods; bamboo snout moth; case based reasoning; case representation; forcasting diseases and pests;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.410
