The Integration of Tourism Route Planning in the Marine Region Based on Smart Tourism

Abstract

The aim of this study is the integration of tourism route planning in the maritime area based on smart tourism by using the neural network model. Matlab 7.0 software is used to realize the simulation of the comprehensive evaluation system of tourism competitiveness of the marine tourism in smart tourism, thus reflecting the level and level of comprehensive competitiveness of the marine region. Finally, empirical analysis was conducted. Twelve "Pilot Cities in the National Smart Tourism Ocean Area" was selected as a sample of online learning. Based on the expected values of its neural network samples, the BP neural network model was simulated by the BP neural network. The results highlighted that the integrated evaluation model of tourism route planning based on BP neural network is feasible and can objectively evaluate the tourism competitiveness of smart tourism cities.