Diffuse Algorithms for Neural and Neuro-Fuzzy Networks
eBook - ePub

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

With Applications in Control Engineering and Signal Processing

  1. 220 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

With Applications in Control Engineering and Signal Processing

About this book

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new approaches to training neural and neuro-fuzzy networks. This book is divided into six chapters. Chapter 1 consists of plants models reviews, problems statements, and known results that are relevant to the subject matter of this book. Chapter 2 considers the RLS behavior on a finite interval. The theoretical results are illustrated by examples of solving problems of identification, control, and signal processing.Properties of the bias, the matrix of second-order moments and the normalized average squared error of the RLS algorithm on a finite time interval are studied in Chapter 3. Chapter 4 deals with the problem of multilayer neural and neuro-fuzzy networks training with simultaneous estimation of the hidden and output layers parameters. The theoretical results are illustrated with the examples of pattern recognition, identification of nonlinear static, and dynamic plants.Chapter 5 considers the estimation problem of the state and the parameters of the discrete dynamic plants in the absence of a priori statistical information about initial conditions or its incompletion. The Kalman filter and the extended Kalman filter diffuse analogues are obtained. Finally, Chapter 6 provides examples of the use of diffuse algorithms for solving problems in various engineering applications. This book is ideal for researchers and graduate students in control, signal processing, and machine learning.- Presents a new approach to training which can be applied to solve the control, identification, signal processing, and classification problems arising in practice- Offers an improvement from the existing learning techniques in control, robotics, and machine learning- Provides examples of the use of diffuse algorithms for solving problems in various engineering applications

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Yes, you can access Diffuse Algorithms for Neural and Neuro-Fuzzy Networks by Boris.A Skorohod in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mechanical Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of Figures
  6. List of Tables
  7. Preface
  8. Chapter 1. Introduction
  9. Chapter 2. Diffuse Algorithms for Estimating Parameters of Linear Regression
  10. Chapter 3. Statistical Analysis of Fluctuations of Least Squares Algorithm on Finite Time Interval
  11. Chapter 4. Diffuse Neural and Neuro-Fuzzy Networks Training Algorithms
  12. Chapter 5. Diffuse Kalman Filter
  13. Chapter 6. Applications of Diffuse Algorithms
  14. Glossary
  15. References
  16. Index