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eBook Support Vector Machines for Antenna Array Processing and Electromagnetics (Lectures on Computational Electromagnetics) ePub

eBook Support Vector Machines for Antenna Array Processing and Electromagnetics (Lectures on Computational Electromagnetics) ePub

by Christos Christodoulou,Manel Martinez Ramon,Constantine Balanis

  • ISBN: 159829024X
  • Category: Engineering
  • Subcategory: Engineering
  • Author: Christos Christodoulou,Manel Martinez Ramon,Constantine Balanis
  • Language: English
  • Publisher: Morgan & Claypool Publishers; 1 edition (October 1, 2006)
  • Pages: 120
  • ePub book: 1465 kb
  • Fb2 book: 1498 kb
  • Other: doc lrf rtf mobi
  • Rating: 4.2
  • Votes: 194

Description

the theoretical development and applications of Support Vector Machines (SVMs). The next three chapters deal with applications in antenna array processing and other areas in electromagnetics. There are four appendices at the end of the book.

the theoretical development and applications of Support Vector Machines (SVMs). The theory of SVMs is based on the cross-pollenization of optimization theory, statistical learning, kernel theory, and algorithmics. So far, machine learning has largely been devoted to solving problems relating to data mining, text categorization, and pattern/facial recognition, but less so in the field of electromagnetics. The inclusion of MATLAB files will help readers start their application of the algorithms covered in the book.

Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for .

Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences. This book introduces a set of novel techniques based on SVM that are applied to antenna array processing and electromagnetics. The nonlinear effects are introduced through a solid state power amplifier.

Электронная книга "Support Vector Machines for Antenna Array Processing and Electromagnetics", Manel Martínez-Ramón, Manel Martinez-Ramon, Christos G. Christodoulou

Электронная книга "Support Vector Machines for Antenna Array Processing and Electromagnetics", Manel Martínez-Ramón, Manel Martinez-Ramon, Christos G. Christodoulou. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Support Vector Machines for Antenna Array Processing and Electromagnetics" для чтения в офлайн-режиме.

Christos Christodoulou, Manel Martinez-Ramon, Constantine A. Balanis. Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks.

Items related to Support Vector Machines for Antenna Array Processing. Christos Christodoulou; Manel Martinez Ramon Support Vector Machines for Antenna Array Processing and Electromagnetics (Lectures on Computational Electromagnetics). ISBN 13: 9781598290240. Support Vector Machines for Antenna Array Processing and Electromagnetics (Lectures on Computational Electromagnetics). Christos Christodoulou; Manel Martinez Ramon.

Support vector machines for antenna array processing and electromagnetics. M Martínez-Ramón, C Christodoulou. Synthesis Lectures on Computational Electromagnetics 1 (1), 1-120, 2005. Support vector machines for nonlinear kernel ARMA system identification. M Martínez-Ramón, JL Rojo-Alvarez, G Camps-Valls, J Muñoz-Marí,. IEEE Transactions on Neural Networks 17 (6), 1617-1622, 2006. M Martinez-Ramon, J Arenas-Garcia, A Navia-Vázquez,.

Manel Martínez-Ramón, Christos Christodoulou. Published: 1 January 2006. by Morgan & Claypool Publishers LLC. in Synthesis Lectures on Computational Electromagnetics. Synthesis Lectures on Computational Electromagnetics, Volume 1, pp 1-120; doi:10.

Manel Martínez-Ramón, Christos Christodoulou

Manel Martínez-Ramón, Christos Christodoulou. Lists with This Book.

Vector Machines for Antenna Array Processing and Electromagnetics.

book by Manel Martínez-Ramón. Support Vector Machines for Antenna Array Processing and Electromagnetics. by Manel Martínez-Ramón and Christos Christodoulou. Since the 1990s there has been significant activity in the theoretical development and applications of Support Vector Machines (SVMs).

Manel Martínez-Ramón, Christos G. Published in. IEEE Antennas and Propagation Societ. 006. Support vector machines (SVM) have improved generalization performance over other classical optimization techniques due to the Thikonov regularization scheme included in its formulation. In this paper, an SVM-based approach for nonlinear array processing which is inspired on the minimum variance distortionless method (MVDM) is introduced. Support Vector Machines for Antenna Array Processing and Electromagnetics, Synthesis Lectures on Computational Electromagnetics. M. Mart́ınez-Ramón, C. G.

Since the 1990s there has been significant activity in the theoretical development and applications of Support Vector Machines (SVMs). The theory of SVMs is based on the cross-pollenization of optimization theory, statistical learning, kernel theory, and algorithmics. So far, machine learning has largely been devoted to solving problems relating to data mining, text categorization, and pattern/facial recognition, but less so in the field of electromagnetics. Recently, popular binary machine learning algorithms, including support vector machines (SVM), have successfully been applied to wireless communication problems, notably spread spectrum receiver design and channel equalization. The aim of this book is to gently introduce SVMs in their linear and non linear forms, both as regressors and as classifiers, and to show how they can be applied to several antenna array processing problems and electromagnetics in general. The lecture is divided into three main parts. The first three chapters cover the theory of SVMs, both as classifiers and regressors. The next three chapters deal with applications in antenna array processing and other areas in electromagnetics. There are four appendices at the end of the book. The inclusion of MATLAB files will help readers start their application of the algorithms covered in the book.