Diffuse Algorithms for Neural and Neuro Fuzzy Networks

This book PDF is perfect for those who love Technology & Engineering genre, written by Boris.A Skorohod and published by Butterworth-Heinemann which was released on 10 February 2017 with total hardcover pages 220. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Diffuse Algorithms for Neural and Neuro Fuzzy Networks books below.

Diffuse Algorithms for Neural and Neuro Fuzzy Networks
Author : Boris.A Skorohod
File Size : 43,5 Mb
Publisher : Butterworth-Heinemann
Language : English
Release Date : 10 February 2017
ISBN : 9780128126103
Pages : 220 pages
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Diffuse Algorithms for Neural and Neuro Fuzzy Networks by Boris.A Skorohod Book PDF Summary

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

Diffuse Algorithms for Neural and Neuro Fuzzy Networks

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

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Diffuse Algorithms for Neural and Neuro Fuzzy Networks

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

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