The Application of Artificial Intelligence Wireless Network in Music Contextual Teaching under the New Media Art Perspective

Abstract

Technological growth has resulted in simplifying various tasks previously considered tedious jobs by humans. Artificial intelligence technology has increased and is being appointed to reduce the burden of handling charges by assisting humans in their tasks. The artificial intelligence technology integrated with the wireless network systems is designed to teach music with the help of new media art. New media art is referred to as artwork that deploys new media technologies for its production. Some of the new media technologies are as follows: animation, computer graphics, digital art, video games, sound art, and interactive art. New media art is different from the traditional visual arts, such as paintings, sculptures, and architecture. The new media art is gaining popularity and has become an unavoidable technology. In this article, people will research the application of artificial intelligence and wireless networks in the music context of teaching under the vision of new media art. The integration of AI and wireless network technology with new media art in the music teaching field is more advantageous than the traditional methods of music teaching. The integration model Convolutional Neural Network Art Algorithm (CNNAA) is a CNN algorithm to train and test the music teaching in the context of new media art such as technological involvement such as 4G and 5G for faster data transfer in the wireless communication. The proposed model is compared with the existing fuzzy logic, neural network (NN), and K-Nearest Neighbour (KNN) for the training and testing of the model for an accurate teaching process. The results show that the CNNAA has obtained a higher accuracy of 98% and 99% for training and testing.