Feasibility Analysis of Neural Network in Intelligent Recommendation for Preventing and Controlling Rocky Desertification
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The construction of corresponding match of rocky desertification characteristic information and control mode is the focus and also the difficulty of rocky desertification research. With various ecological, social and economic indicators in the area of rocky desertification as the research object, the data mining theory is innovatively integrated with the regional rocky desertification control mode in this paper. Based on the reasoning of different types of rocky desertification and the combination of bee colony algorithm and BP neural network, this paper is to guide the selection of rocky desertification control mode. Those areas where rocky desertification has been successfully prevented and controlled will be saved in the system as excellent categories. For those new areas needing rocky desertification prevention and control, we can search for similar control mode in the system and modify it to get a suitable one and then to guide relative comprehensive management work. Experimental results show that the proposed method is effective in practice.