This book mainly talks about synthetic aperture radar target recognition achieved by improved convolutional neural networks, and proposes improved swarm intelligence algorithms. Meanwhile, by combining machine learning, it achieves synthetic aperture radar target recognition, denoising estimation of MEMS vector hydrophone signals, cancer classification, infectious disease prediction, air quality index prediction and classification, robot steering classification and geological water quality classification. The book is highly practical and applicable. It meets the need of actual application and provides theoretical guidance. The book can be used for the study of graduate students in applied mathematics, signal processing, image processing, optimization algorithms, prediction and classification, and also as a reference for scientific researchers engaged in machine learning.