Application scenario analysis based on CNN algorithm

Abstract

The swift advancement of artificial intelligence technology, facilitated by the rapid progress in science and technology, has significantly enhanced the convenience of our daily lives. As a pivotal model in the realm of deep learning, convolution neural network (CNN) has achieved remarkable feats in various domains such as image recognition, speech recognition, natural language processing, and more. The purpose of this paper is to explore the application of CNN algorithm in different fields, including price prediction, traffic prediction and sentiment text analysis, and summarize its application status, and look forward to the future development trend. While CNN algorithm demonstrates strong performance in these areas, its limitations hinder significant contributions in certain fields. Nevertheless, it is anticipated that with continued advancements in science and technology, CNN algorithm will exhibit commendable performance across diverse domains. This study projects CNN's future development trends and gives an overview of the technology's current application status in a number of sectors, making it a useful resource for relevant applications and research.