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.