<p><span>This book presents the first βHow Toβ guide to the use of radial basis functions (RBF). It provides a clear vision of their potential, an overview of ready-for-use computational tools and precise guidelines to implement new engineering applications of RBF.</span></p><p><span>Radial basis fu
Fast Radial Basis Functions for Engineering Applications
β Scribed by Marco Evangelos Biancolini
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 364
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p>This book is the first to be devoted to the theory and applications of spherical (radial) basis functions (SBFs), which is rapidly emerging as one of the most promising techniques for solving problems where approximations are needed on the surface of a sphere. The aim of the book is to provide en
<p><p>This book is the first to be devoted to the theory and applications of spherical (radial) basis functions (SBFs), which is rapidly emerging as one of the most promising techniques for solving problems where approximations are needed on the surface of a sphere. The aim of the book is to provide
Adapted from a series of lectures given by the authors, this monograph focuses on radial basis functions (RBFs), a powerful numerical methodology for solving PDEs to high accuracy in any number of dimensions. This method applies to problems across a wide range of PDEs arising in fluid mechanics, wav
<p><em>Fully Tuned Radial Basis Function Neural Networks for Flight Control</em> presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rule