Intelligent Recognition of Intertextual Artistic Conception in Ancient Poetry and Literature based on PSO-SVM Algorithm and its Extended Scene Modeling of Culture and Art

This paper focuses on 3 main studies. (1) The novel PSO-SVM algorithm is designed as the theoretical basis. Support vector machines based on statistical learning theory can solve classification problems well. It is known for solving small sample size and non-linear problems; hence, the PSO is integrated to improve the robustness of the traditional SVM. (2) Scene modelling is considered. The production of three-dimensional model directly affects the performance of the modeling effect, and the 3Dmax model is used to achieve the comprehensive of the model. (3) Intelligent recognition of the intertextual artistic conception is conducted. The novel text recognition algorithm is defined to perform better. Through the testing on the different datasets, the accuracy and efficiency are both tested with the robustness estimation.