Evaluation Computing of Cultural Tourism Resources Potential Based on SVM Intelligent Data Analysis and IoT

Abstract

Evaluation computing of the cultural tourism resources potential based on SVM intelligent data analysis and IoT is analyzed in this paper. The research highlights are as follows: (1) In order to effectively improve classification performance of symbol data, a symbolic space representation method is defined by deepening the spatial structure relationship between different attribute values and labels of symbol data. (2) Some parallel operators and parameters are adjusted to optimize the performance of the new algorithm. (3) In the security analysis of the actual protocols, the proof method of reduction is often adopted to reduce the security proof of the protocols to some recognized difficult problems. The simulation results prove the effectiveness of the proposed method.