Research on the Application of Intelligent Algorithms in Sonar Target Recognition
With the rapid development of artificial intelligence technology,the application of intelligent algorithms in the field of sonar target recognition has gradually become a research hotspot. This paper outlines the basic principles of intelligent algorithms such as neural networks,support vector machines,and deep learning,as well as their application advantages in sonar target recognition. It discusses in detail the strategies for data preprocessing and feature extraction,model selection and training,as well as evaluation and optimization of recognition performance,providing comprehensive guidance for the practical application of sonar target recognition. The paper also proposes algorithm selection strategies tailored to different task characteristics,considering the impact of real-time performance and robustness on algorithm selection. Based on the practical application of intelligent algorithms,it further suggests development recommendations for integration and innovation,aiming to promote the further advancement of sonar technology.
万方数据
维普
