Diffuse Algorithms for Neural and Neuro Fuzzy Networks

Download or Read online Diffuse Algorithms for Neural and Neuro Fuzzy Networks full in PDF, ePub and kindle. This book written by Boris.A Skorohod and published by Butterworth-Heinemann which was released on 10 February 2017 with total pages 220. We cannot guarantee that Diffuse Algorithms for Neural and Neuro Fuzzy Networks book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Diffuse Algorithms for Neural and Neuro Fuzzy Networks
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Publisher : Butterworth-Heinemann
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ISBN : 9780128126103
Pages : 220 pages
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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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