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Travelers choosing tourism route subjectively is usually not optimal. Set neural net algorithm as data model, city tourism route intelligent planning system is designed and developed. The sampling method is used to select urban scenic spot, and intelligent programming algorithm is set up. The function and structure of the system are designed. Through system developing and function example analyzing, system's main function and auxiliary function are studied. Function test and user experience show that this system has good operation, while planned tourism route can meet the needs of most tourist group and obtain the maximum tourist motive benefits.

Design and Realization of City Tourism Route Intelligent Programming System