Density prediction of self-accelerating waves

Abstract

Self-accelerating waves have attracted a lot of attention not merely in terms of principles and practical demonstrations, but also in terms of a diverse variety of applications. Some of these applications are filamentation, biomedical imaging, particle manipulation, material processing and plasmons. In this paper, we study the prediction of maximum points of self-accelerating waves. We predict maximum points of the self-accelerating waves. We apply machine learning algorithm to predict the maximum point. We use two machine learning algorithm Decision Tree Classifying and Logistic Regression. The data is processed in python programming using two main Machine Learning Algorithm namely Decision Tree Algorithm and Logistic Regression which shows the best algorithm among these two in terms of accuracy level of maximum point of a self-accelerating wave.