CBR Based System Development of Bamboo Snout Moth Forecasting

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.