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Early-warning research of tourism sustainable development is a highly complicated problem. This paper discusses the conception of the early-warning system about tourism sustainable development. Basing on the characteristics of tourism oneself, it sets up the evaluation indicators system and building the earlywarning system about tourism sustainable development based on grey neural network. Takes Lanzhou City for an example and puts forward to some measures. Result demonstrates the speediness and efficiency of this algorithm. This algorithm shows the advantage in earlywarning research of tourism sustainable development.

Early-warning Model for Tourism Sustainable Development Based on Grey Neural Network—Taking Lanzhou City for Example