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Diffuse Algorithms for Neural and Neuro Fuzzy Networks

Diffuse Algorithms for Neural and Neuro Fuzzy Networks Book
Author : Boris.A Skorohod
Publisher : Butterworth-Heinemann
Release : 2017-02-10
ISBN : 0128126108
Language : En, Es, Fr & De

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Book Description :

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 Networks

Diffuse Algorithms for Neural Networks Book
Author : Ghanta BABU
Publisher : Unknown
Release : 2018-12
ISBN : 9781792846038
Language : En, Es, Fr & De

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Book Description :

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 in a variety of applications relating to the identification and control of nonlinear plants, time series forecasting, classification, and recognition.

Advantages and Pitfalls of Pattern Recognition

Advantages and Pitfalls of Pattern Recognition Book
Author : Horst Langer,Susanna Falsaperla,Conny Hammer
Publisher : Elsevier
Release : 2019-11-23
ISBN : 0128118431
Language : En, Es, Fr & De

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Book Description :

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 single parameters. Pattern recognition techniques offer a suitable key for processing and extracting useful information from the data of multivariate analysis. This book explores both supervised and unsupervised pattern recognition techniques, while providing insight into their application. Offers real-world examples of techniques for pattern recognition and handling multivariate data Includes examples, applications, and diagrams to enhance understanding Provides an introduction and access to relevant software packages

NEURAL NETWORKS FUZZY LOGIC AND GENETIC ALGORITHM

NEURAL NETWORKS  FUZZY LOGIC AND GENETIC ALGORITHM Book
Author : S. RAJASEKARAN,G. A. VIJAYALAKSHMI PAI
Publisher : PHI Learning Pvt. Ltd.
Release : 2003-01-01
ISBN : 8120321863
Language : En, Es, Fr & De

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Book Description :

This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.

Neural Information Processing Theory and Algorithms

Neural Information Processing  Theory and Algorithms Book
Author : Kevin K.W. Wong,B. Sumudu U. Mendis,Abdesselam Bouzerdoum
Publisher : Springer
Release : 2010-11-18
ISBN : 3642175376
Language : En, Es, Fr & De

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Book Description :

The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.

Neural Network Models of Cognition

Neural Network Models of Cognition Book
Author : J.W. Donahoe,V.P. Dorsel
Publisher : Elsevier
Release : 1997-09-26
ISBN : 9780080537368
Language : En, Es, Fr & De

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Book Description :

This internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral neuroscience as population genetics for evolutionary science. The volume is divided into six sections, each of which includes both experimental and simulation research: (1) neurodevelopment and genetic algorithms, (2) synaptic plasticity (LTP), (3) sensory/hippocampal systems, (4) motor systems, (5) plasticity in large neural systems (reinforcement learning), and (6) neural imaging and language. The volume also includes an integrated reference section and a comprehensive index.

Signal Processing in Neuroscience

Signal Processing in Neuroscience Book
Author : Xiaoli Li
Publisher : Springer
Release : 2016-08-31
ISBN : 9811018227
Language : En, Es, Fr & De

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Book Description :

This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored through different sensors such as spike trains, local filed potentials and EEG. The analysis of neural activity can yield vital insights into the function of the brain. This book highlights the contribution of signal processing in the area of computational neuroscience by providing a forum for researchers in this field to share their experiences to date.

Neuron Glia Interaction in Neuroinflammation

Neuron Glia Interaction in Neuroinflammation Book
Author : Akio Suzumura,Kazuhiro Ikenaka
Publisher : Springer Science & Business Media
Release : 2013-09-13
ISBN : 1461483131
Language : En, Es, Fr & De

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Book Description :

Accumulation on glia is an active pathological element in many neurological disorders. Gliosis produces neuroinflammation through both neurotrophic and inflammatory means, but the exact mechanism through which this happens remain unclear. It is suspected that damage to neurons activates the growth of glial cells. The proposed book focuses on the interaction between neurons and glia to help elucidate the pathophysiology of neuroinflammation in neurological disorders.​

Artificial Neural Nets and Genetic Algorithms

Artificial Neural Nets and Genetic Algorithms Book
Author : Vera Kurkova,Nigel C. Steele,Roman Neruda,Miroslav Karny
Publisher : Springer Science & Business Media
Release : 2013-11-11
ISBN : 3709162300
Language : En, Es, Fr & De

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Book Description :

The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits.

Handbook of Neurophotonics

Handbook of Neurophotonics Book
Author : Francesco S. Pavone,Shy Shoham
Publisher : CRC Press
Release : 2020-05-10
ISBN : 1498718760
Language : En, Es, Fr & De

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Book Description :

The Handbook of Neurophotonics provides a dedicated overview of neurophotonics, covering the use of advanced optical technologies to record, stimulate, and control the activity of the brain, yielding new insight and advantages over conventional tools due to the adaptability and non-invasive nature of light. Including 32 colour figures, this book addresses functional studies of neurovascular signaling, metabolism, electrical excitation, and hemodynamics, as well as clinical applications for imaging and manipulating brain structure and function. The unifying theme throughout is not only to highlight the technology, but to show how these novel methods are becoming critical to breakthroughs that will lead to advances in our ability to manage and treat human diseases of the brain. Key Features: Provides the first dedicated book on state-of-the-art optical techniques for sensing and imaging across at the cellular, molecular, network, and whole brain levels. Highlights how the methods are used for measurement, control, and tracking of molecular events in live neuronal cells, both in basic research and clinical practice. Covers the entire spectrum of approaches, from optogenetics to functional methods, photostimulation, optical dissection, multiscale imaging, microscopy, and structural imaging. Includes chapters that show use of voltage-sensitive dye imaging, hemodynamic imaging, multiphoton imaging, temporal multiplexing, multiplane microscopy, optoacoustic imaging, near-infrared spectroscopy, and miniature neuroimaging devices to track cortical brain activity.

Diffuse Low Grade Gliomas in Adults

Diffuse Low Grade Gliomas in Adults Book
Author : Hugues Duffau
Publisher : Springer
Release : 2017-06-21
ISBN : 3319554662
Language : En, Es, Fr & De

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Book Description :

The second edition of this well-received volume has been revised and updated to reflect the advances in pathological classification and molecular epidemiology of diffuse low-grade gliomas (DLGG) in adults and offers an updated review on individualized therapies. This book presents the latest research pertaining to the diagnosis, genetics, therapy and management of DLGGs. It extensively covers recent research on the natural history of DLGGs and their interaction with the brain and reviews the new diagnostic and therapeutic strategies which increase survival and quality of life of the patient. New topics covered are the management of DLGGs during pregnancy, functional rehabilitation of patients with DLGG and the onco-functional balance in DLGG, among others. The reader will have the opportunity to gain insight in both clinical and basic science aspects of this type of tumor and learn about the application of novel imaging techniques such as diffussion tensor imaging. Edited by a leading expert in the field and authored by a team of recognised specialists, this book is a valuable resource for medical oncologists, neuro-oncologists and neurologists.

From Neuron to Cognition via Computational Neuroscience

From Neuron to Cognition via Computational Neuroscience Book
Author : Michael A. Arbib,James J. Bonaiuto
Publisher : MIT Press
Release : 2016-11-04
ISBN : 0262335271
Language : En, Es, Fr & De

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Book Description :

A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille

New Horizons in Neurovascular Coupling A Bridge Between Brain Circulation and Neural Plasticity

New Horizons in Neurovascular Coupling  A Bridge Between Brain Circulation and Neural Plasticity Book
Author : Anonim
Publisher : Elsevier
Release : 2016-04-26
ISBN : 0444637060
Language : En, Es, Fr & De

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Book Description :

New Horizons in Neurovascular Coupling: A Bridge Between Brain Circulation and Neural Plasticity is the latest volume in the Progress in Brain Research series that focuses on new trends and developments in neurovascular coupling. This established international series examines major areas of basic and clinical research within the neurosciences, as well as popular and emerging subfields. This volume takes an integrated approach to review and summarize some of the most recent progress reported on the connection between brain circulation and neural plasticity. Explores new trends and developments in basic and clinical research in the neurovascular coupling subfield of neuroscience Uses an integrated approach to review and summarize recent progress Emphasizes potential applications in a clinical setting Enhances the literature of neuroscience by further expanding the established, ongoing international series Progress in Brain Research

Neurocomputers and Attention Connectionism and neurocomputers

Neurocomputers and Attention  Connectionism and neurocomputers Book
Author : Arun V. Holden,Vitaly I. Kryukov
Publisher : Manchester University Press
Release : 1991
ISBN : 9780719034565
Language : En, Es, Fr & De

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Book Description :

Download Neurocomputers and Attention Connectionism and neurocomputers book written by Arun V. Holden,Vitaly I. Kryukov, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Fuzzy and Neuro Fuzzy Systems in Medicine

Fuzzy and Neuro Fuzzy Systems in Medicine Book
Author : Horia-Nicolai L Teodorescu,Abraham Kandel,Lakhmi C. Jain
Publisher : CRC Press
Release : 2017-11-22
ISBN : 1351364529
Language : En, Es, Fr & De

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Book Description :

Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains relevant problems, as well as provides solutions to these problems. After an introduction, the book progresses from one topic to another - with a linear development from fundamentals to applications.

Introduction to Neuroscience I

Introduction to Neuroscience I Book
Author : Anonim
Publisher : Donald C. Cooper Ph.D.
Release : 2021-07-25
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Introduction to Neuroscience I book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Physical Management for Neurological Conditions E Book

Physical Management for Neurological Conditions E Book Book
Author : Sheila Lennon,Gita Ramdharry,Geert Verheyden
Publisher : Elsevier Health Sciences
Release : 2018-07-28
ISBN : 0702077232
Language : En, Es, Fr & De

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Book Description :

The second edition of the Neurological Physiotherapy Pocketbook is the only book for physiotherapists that provides essential evidence-based information in a unique and easy-to-use format, applicable to clinical settings. Written by new international editors and contributors, this pocketbook provides quick and easy access to essential clinical information.

Knowledge Based Neurocomputing A Fuzzy Logic Approach

Knowledge Based Neurocomputing  A Fuzzy Logic Approach Book
Author : Eyal Kolman,Michael Margaliot
Publisher : Springer
Release : 2008-10-18
ISBN : 3540880771
Language : En, Es, Fr & De

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Book Description :

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks.

Computational Neuroscience

Computational Neuroscience Book
Author : Eric L. Schwartz
Publisher : MIT Press
Release : 1993-08-26
ISBN : 9780262691642
Language : En, Es, Fr & De

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Book Description :

The thirty original contributions in this book provide a working definition of"computational neuroscience" as the area in which problems lie simultaneously within computerscience and neuroscience. They review this emerging field in historical and philosophical overviewsand in stimulating summaries of recent results. Leading researchers address the structure of thebrain and the computational problems associated with describing and understanding this structure atthe synaptic, neural, map, and system levels.The overview chapters discuss the early days of thefield, provide a philosophical analysis of the problems associated with confusion between brainmetaphor and brain theory, and take up the scope and structure of computationalneuroscience.Synaptic-level structure is addressed in chapters that relate the properties ofdendritic branches, spines, and synapses to the biophysics of computation and provide a connectionbetween real neuron architectures and neural network simulations.The network-level chapters take upthe preattentive perception of 3-D forms, oscillation in neural networks, the neurobiologicalsignificance of new learning models, and the analysis of neural assemblies and local learningrides.Map-level structure is explored in chapters on the bat echolocation system, cat orientationmaps, primate stereo vision cortical cognitive maps, dynamic remapping in primate visual cortex, andcomputer-aided reconstruction of topographic and columnar maps in primates.The system-level chaptersfocus on the oculomotor system VLSI models of early vision, schemas for high-level vision,goal-directed movements, modular learning, effects of applied electric current fields on corticalneural activity neuropsychological studies of brain and mind, and an information-theoretic view ofanalog representation in striate cortex.Eric L. Schwartz is Professor of Brain Research and ResearchProfessor of Computer Science, Courant Institute of Mathematical Sciences, New York UniversityMedical Center. Computational Neuroscience is included in the System Development FoundationBenchmark Series.

The Evolutionary Neuroethology of Paul MacLean

The Evolutionary Neuroethology of Paul MacLean Book
Author : James W. Geary
Publisher : Greenwood Publishing Group
Release : 2002
ISBN : 9780275972196
Language : En, Es, Fr & De

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Book Description :

Cory, Gardner, and their contributors argue that how the brain is constructed determines how people behave socially. This has been a neglected thesis, except for a few pioneers, of whom Paul MacLean has been most outstanding. His animal observations, brain research, and evolutionary formulations have formed the basis of new important initiatives discussed in this collection.