eBooks-it.org Logo
eBooks-IT.org Inner Image

Classification, Parameter Estimation and State Estimation

An Engineering Approach Using MATLAB

Classification, Parameter Estimation and State Estimation Image

Book Details:

Publisher:Wiley
Series: Wiley , Using
Author:Ferdinand van der Heijden
Edition:1
ISBN-10:0470090138
ISBN-13:9780470090138
Pages:440
Published:Oct 29 2004
Posted:Dec 04 2014
Language:English
Book format:PDF
Book size:8.68 MB

Book Description:

"Classification, Parameter Estimation and State Estimation" is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerful MATLAB toolbox for pattern recognition and is written and owned by one of the co-authors, B. Duin of the Delft University of Technology. After an introductory chapter, the book provides the theoretical construction for classification, estimation and state estimation. The book also deals with the skills required to bring the theoretical concepts to practical systems, and how to evaluate these systems.Together with the many examples in the chapters, the book is accompanied by a MATLAB toolbox for pattern recognition and classification. The appendix provides the necessary documentation for this toolbox as well as an overview of the most useful functions from these toolboxes. With its integrated and unified approach to classification, parameter estimation and state estimation, this book is a suitable practical supplement in existing university courses in pattern classification, optimal estimation and data analysis.This book: covers all contemporary main methods for classification and estimation; takes an integrated approach to classification, parameter estimation and state estimation; highlights the practical deployment of theoretical issues; provides a concise and practical approach supported by MATLAB toolbox; and, offers exercises at the end of each chapter and numerous worked out examples. PRtools toolbox (MATLAB) and code of worked out examples are available from the internet. It also includes many examples showing implementations in MATLAB. This book enables students to practice their skills using a MATLAB environment.

Download Link:

Related Books:

Wavelet Neural Networks

With Applications in Financial Engineering, Chaos, and Classification
Wavelet Neural Networks Image
Through extensive examples and case studies, Wavelet Neural Networks provides a step-by-step introduction to modeling, training, and forecasting using wavelet networks. The acclaimed authors present a statistical model identification framework to successfully apply wavelet networks in various applications, specifically, providing the mathematical and statistical framework needed for model selection, variable selection, wavelet network construction, initialization, training, forecasting and prediction, confidence intervals, prediction intervals, and model adequacy testing. The text is ideal for MBA students as well as researchers and practitioners. Various methodologies are separated into the appropriate procedural stages to facilitate understanding....

Classification and Data Mining

Classification and Data Mining Image
This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining"....

Ending Spam

Bayesian Content Filtering and the Art of Statistical Language Classification
Ending Spam Image
Join author John Zdziarski for a look inside the brilliant minds that have conceived clever new ways to fight spam in all its nefarious forms. This landmark title describes, in-depth, how statistical filtering is being used by next-generation spam filters to identify and filter unwanted messages, how spam filtering works and how language classification and machine learning combine to produce remarkably accurate spam filters.After reading Ending Spam, you'll have a complete understanding of the mathematical approaches used by today's spam filters as well as decoding, tokenization, various algorithms (including Bayesian analysis and Markovian discrimination) and the benefits of using open-source solutions to end spam. Zdziarski interviewed creators of ...



2007 - 2021 © eBooks-IT.org