Design of Intelligent Guidance Algorithm for Language Training in Cross-cultural Communication based on Multicast Multimedia Fusion SSD Framework

At the end of each cycle, the optimal solution is retained, the volatility coefficient is changed adaptively, and the crossover operator of the genetic algorithm is introduced. A delay-constrained multicast routing algorithm model based on ACO is proposed. Detection (SSD) framework, SSD network uses multi-layer feature maps (FeatureMaps) for target prediction, in which the shallower feature layer needs to obtain both low-level features and high-level semantic features. The design of intelligent guidance algorithm for language training in cross-cultural communication is studied. Realizing the transformation from “content provision” to “network hub” will help the international dissemination of Chinese culture and improve dissemination efficiency.