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 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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  • Author : Boris.A Skorohod
  • Publisher : Butterworth-Heinemann
  • Pages : 220 pages
  • ISBN : 0128126108
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKDiffuse Algorithms for Neural and Neuro Fuzzy Networks

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks
  • Author : Boris.A Skorohod
  • Publisher : Butterworth-Heinemann
  • Release : 10 February 2017
GET THIS BOOKDiffuse 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 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

Diffuse Algorithms for Neural Networks

Diffuse Algorithms for Neural Networks
  • Author : Ghanta BABU
  • Publisher : Unknown Publisher
  • Release : 01 December 2018
GET THIS BOOKDiffuse Algorithms for Neural Networks

The problem of neural and neuro-fuzzy networks training is considered in this book. The author's attention is concentrated on the approaches which are based on the use of a separable structure of plants models--nonlinear with respect to some unknown parameters and linear relating to the others. It may be, for example, a multilayered perceptron with a linear activation function at its output, a radial base neural network, a neuro-fuzzy Sugeno network, or a recurrent neural network, which are widely used

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  • Publisher : Elsevier
  • Release : 23 November 2019
GET THIS BOOKAdvantages and Pitfalls of Pattern Recognition

Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to geophysicists, geochemists, geologists, geographers, data analysts, and educators and students of geosciences. Scientific and technological progress has dramatically improved the knowledge of our planet with huge amounts of digital data available in various fields of Earth Sciences, such as geology, geophysics, and geography. This has led to a new perspective of data analysis, requiring specific techniques that take several features into consideration rather than

Statistical Signal Processing for Neuroscience and Neurotechnology

Statistical Signal Processing for Neuroscience and Neurotechnology
  • Author : Karim G. Oweiss
  • Publisher : Academic Press
  • Release : 22 September 2010
GET THIS BOOKStatistical Signal Processing for Neuroscience and Neurotechnology

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal

Genetic Algorithms and Fuzzy Logic Systems

Genetic Algorithms and Fuzzy Logic Systems
  • Author : Elie Sanchez,Takanori Shibata,Lotfi Asker Zadeh
  • Publisher : World Scientific
  • Release : 08 December 1997
GET THIS BOOKGenetic Algorithms and Fuzzy Logic Systems

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a

Big Data in Psychiatry and Neurology

Big Data in Psychiatry and Neurology
  • Author : Ahmed A. Moustafa
  • Publisher : Academic Press
  • Release : 24 June 2021
GET THIS BOOKBig Data in Psychiatry and Neurology

Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine

Introduction to AI Techniques for Renewable Energy System

Introduction to AI Techniques for Renewable Energy System
  • Author : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
  • Publisher : CRC Press
  • Release : 24 November 2021
GET THIS BOOKIntroduction to AI Techniques for Renewable Energy System

Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems

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  • Publisher : Springer
  • Release : 17 August 2019
GET THIS BOOKComputational Intelligence in Data Mining

This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.

Translational Research in Traumatic Brain Injury

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  • Author : Daniel Laskowitz,Gerald Grant
  • Publisher : CRC Press
  • Release : 01 December 2015
GET THIS BOOKTranslational Research in Traumatic Brain Injury

Traumatic brain injury (TBI) remains a significant source of death and permanent disability, contributing to nearly one-third of all injury related deaths in the United States and exacting a profound personal and economic toll. Despite the increased resources that have recently been brought to bear to improve our understanding of TBI, the development of new diagnostic and therapeutic approaches has been disappointingly slow. Translational Research in Traumatic Brain Injury attempts to integrate expertise from across specialties to address knowledge gaps

Metastable Dynamics of Neural Ensembles

Metastable Dynamics of Neural Ensembles
  • Author : Emili Balaguer-Ballester,Ruben Moreno-Bote,Gustavo Deco,Daniel Durstewitz
  • Publisher : Frontiers Media SA
  • Release : 19 March 2018
GET THIS BOOKMetastable Dynamics of Neural Ensembles

A classical view of neural computation is that it can be characterized in terms of convergence to attractor states or sequential transitions among states in a noisy background. After over three decades, is this still a valid model of how brain dynamics implements cognition? This book provides a comprehensive collection of recent theoretical and experimental contributions addressing the question of stable versus transient neural population dynamics from complementary angles. These studies showcase recent efforts for designing a framework that encompasses

Recent Advances and the Future Generation of Neuroinformatics Infrastructure

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  • Author : Xi Cheng,Daniel R. Weinberger,Daniel Marcus,John Van Horn,Venkata Satyanand Mattay,Qian Luo
  • Publisher : Frontiers Media SA
  • Release : 11 December 2015
GET THIS BOOKRecent Advances and the Future Generation of Neuroinformatics Infrastructure

The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote

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  • Author : Joseph Jankovic,John C. Mazziotta,Scott L Pomeroy
  • Publisher : Elsevier Health Sciences
  • Release : 23 March 2021
GET THIS BOOKBradley's Neurology in Clinical Practice E-Book

A practical, dynamic resource for practicing neurologists, clinicians and trainees, Bradley and Daroff's Neurology in Clinical Practice, Eighth Edition, offers a straightforward style, evidence-based information, and robust interactive content supplemented by treatment algorithms and images to keep you up to date with all that’s current in this fast-changing field. This two-volume set is ideal for daily reference, featuring a unique organization by presenting symptom/sign and by specific disease entities—allowing you to access content in ways that mirror

Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making

Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making
  • Author : Idemudia, Efosa Carroll
  • Publisher : IGI Global
  • Release : 05 June 2020
GET THIS BOOKHandbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making

To date, a plethora of companies and organizations are investing vast amounts of money on the latest technologies. Information technology can be used to improve market share, profits, sales, competitive advantage, and customer/employee satisfaction. Unfortunately, the individuals meant to use these technologies are not well equipped on how to effectively and efficiently use these tools for competitive advantage and decision making. The Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making is a collection of