Ergebnisse für: Fractional Machine Learning
Hier findest Du Bücher, die sich mit Fractional Machine Learning beschäftigen.
This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel ...
This book offers a timely snapshot of research in fractional calculus. Based on peer-reviewed, selected contributions to the 6th Mexican Workshop on Fractional Calculus (MWFC), held on October 9-11, 2024 at the University of Guanajuato, in León, Guanajuato México, it offers extensive informat...
This book focuses on Support Vector Machine (SVM), Least Square SVM (LS-SVM), and Physics-Informed LS-SVM (PILSSVM) and bridges the gap among mathematical theory, physical modeling, and practical machine learning. The authors focus on method-driven, kernel-based learning to solve ordinary differenti...
This book presents Analytical and Approximate Methods for Complex Dynamical Systems and introduces ideas of discontinuous mapping treated as complex dynamical systems. Mathematicians of world-recognized Ukrainian scientific schools established by M.Krylov, M.Bogolyubov, Yu.Mitropolskiy, and A.Sharko...
In this Special Issue on human health engineering, we invited submissions exploring recent contributions to the field of human health engineering, which is the technology used for monitoring the physical or mental health status of individuals in a variety of applications. Contributions focused on se...