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Neural Control Engineering, Steven J. Schiff


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Цена: 18392.00р.
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При оформлении заказа до: 2025-07-23
Ориентировочная дата поставки: конец Сентября - начало Октября
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Автор: Steven J. Schiff   (Стивен Дж. Шифф)
Название:  Neural Control Engineering
Перевод названия: Стивен Дж. Шифф: Инженерия нейронного управления
ISBN: 9780262546713
Издательство: MIT Press
Издательство: The MIT Press
Классификация:
ISBN-10: 026254671X
Обложка/Формат: Paperback
Вес: 0.84 кг.
Размер: 177 x 230 x 29
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Поставляется из: США


Infection Control in Primary Dental Care (1 e)

Автор: M. R. Fulford, N. R. Stankiewicz
Название: Infection Control in Primary Dental Care (1 e)
ISBN: 3030163067 ISBN-13(EAN): 9783030163068
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Поставка под заказ.

Описание: Infection Control in Primary Dental Care will be very useful for all members of the dental team, including dentists, dental nurses or assistants, dental hygienists, and therapists.

The Promised Neverland, Vol. 2

Автор: Shirai Kaiu
Название: The Promised Neverland, Vol. 2
ISBN: 1421597136 ISBN-13(EAN): 9781421597133
Издательство: Viz Media
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Цена: 1318.00 р.
Наличие на складе: Заказано в издательстве.

Описание: The children of the Grace Field House orphanage have their happy lives upended when they find out they`re being raised to be fed to demons.

Brainwashing

Автор: Taylor Kathleen
Название: Brainwashing
ISBN: 0198798334 ISBN-13(EAN): 9780198798330
Издательство: Oxford Academ
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Цена: 2058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Bringing together cutting-edge research from psychology and neuroscience, Kathleen Taylor puts the brain back into brainwashing and shows why understanding this mysterious phenomenon is vitally relevant in the twenty-first century.

Nature Anatomy: The Curious Parts and Pieces of the Natural World

Автор: Rothman Julia
Название: Nature Anatomy: The Curious Parts and Pieces of the Natural World
ISBN: 1612122310 ISBN-13(EAN): 9781612122311
Издательство: Workman
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Цена: 2427.00 р.
Наличие на складе: Есть (1 шт.)
Описание: Suitable for anyone who appreciates and wants to explore the curiosities and beauty of the natural world, this title offers a look at all kinds of subjects, including mineral formation, the inside of a volcano, what makes sunsets, monarch butterfly migration, the parts of a bird, the anatomy of a jellyfish, and more.

Cybernetics: Or the Control and Communication in the Animal and the Machine

Автор: Wiener Norbert
Название: Cybernetics: Or the Control and Communication in the Animal and the Machine
ISBN: 1614275025 ISBN-13(EAN): 9781614275022
Издательство: Неизвестно
Цена: 2566.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 2013 Reprint of 1961 Second Edition. Full facsimile of the original edition, not reproduced with Optical Recognition Software. Acclaimed one of the "seminal books... comparable in ultimate importance to... Galileo or Malthus or Rousseau or Mill", "Cybernetics" was judged by twenty-seven historians, economists, educators, and philosophers to be one of those books published during the "past four decades," which may have a substantial impact on public thought and action in the years ahead." -- Saturday Review. Cybernetics was defined in the mid 20th century by Norbert Wiener as "the scientific study of control and communication in the animal and the machine." Fields of study which have influenced or been influenced by cybernetics include game theory, system theory (a mathematical counterpart to cybernetics), perceptual control theory, sociology, psychology (especially neuropsychology, behavioral psychology, cognitive psychology), philosophy, architecture, and organizational theory. Contents: Part one: original edition - Newtonian and Bergsonian time - Groups and statistical mechanics - Time series, information, and communication - Feedback and oscillation - Computing machines and nervous system - Gestalt and universals - Cybernetics and psychopathology - Information, language, and society - Part two: supplement chapters - On learning and self - reproducing machines - Brain waves and self - organizing systems.

Fuzzy Neural Networks for Real Time Control Applications

Автор: Erdal Kayacan
Название: Fuzzy Neural Networks for Real Time Control Applications
ISBN: 0128026871 ISBN-13(EAN): 9780128026878
Издательство: Elsevier Science
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Цена: 12294.00 р.
Наличие на складе: Поставка под заказ.

Описание:

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS

Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book

Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book.

A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis.

You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are:

- Gradient descent

- Levenberg-Marquardt

- Extended Kalman filter

In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced.

The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully.

Neural Control of Speech

Автор: Guenther Frank H.
Название: Neural Control of Speech
ISBN: 0262034719 ISBN-13(EAN): 9780262034715
Издательство: MIT Press
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Цена: 11004.00 р.
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Описание:

A comprehensive and unified account of the neural computations underlying speech production, offering a theoretical framework bridging the behavioral and the neurological literatures.

In this book, Frank Guenther offers a comprehensive, unified account of the neural computations underlying speech production, with an emphasis on speech motor control rather than linguistic content. Guenther focuses on the brain mechanisms responsible for commanding the musculature of the vocal tract to produce articulations that result in an acoustic signal conveying a desired string of syllables. Guenther provides neuroanatomical and neurophysiological descriptions of the primary brain structures involved in speech production, looking particularly at the cerebral cortex and its interactions with the cerebellum and basal ganglia, using basic concepts of control theory (accompanied by nontechnical explanations) to explore the computations performed by these brain regions.

Guenther offers a detailed theoretical framework to account for a broad range of both behavioral and neurological data on the production of speech. He discusses such topics as the goals of the neural controller of speech; neural mechanisms involved in producing both short and long utterances; and disorders of the speech system, including apraxia of speech and stuttering. Offering a bridge between the neurological and behavioral literatures on speech production, the book will be a valuable resource for researchers in both fields.

Neural Network-Based State Estimation of Nonlinear Systems

Автор: Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Pat
Название: Neural Network-Based State Estimation of Nonlinear Systems
ISBN: 1441914374 ISBN-13(EAN): 9781441914378
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This text offers neural network schemes for state estimation, system identification and fault detection. It covers mathematical proof of stability, experimental evaluation, and robustness against unmolded dynamics, external disturbances and measurement noises.

Biomechanics and Neural Control of Posture and Movement

Автор: Jack M. Winters; Patrick E. Crago
Название: Biomechanics and Neural Control of Posture and Movement
ISBN: 146127415X ISBN-13(EAN): 9781461274155
Издательство: Springer
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Цена: 43100.00 р.
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Описание: Section I provides a brief intro- duction to the terminology and conceptual foundations of the field of move- ment science; All but two of the re- maining nine sections share a common format: (l) a designated section editor; Section VI is the largest section, and it con- sists of nine perspective chapters without commentaries.

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Автор: Jinkun Liu
Название: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
ISBN: 3642348157 ISBN-13(EAN): 9783642348150
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book introduces concrete design methods and MATLAB simulations of stable adaptive Radial Basis Function (RBF) neural control strategies. It presents a broad range of implementable neural network control design methods for mechanical systems.

Neural Networks Modeling And Control

Автор: Rios, Jorge D.
Название: Neural Networks Modeling And Control
ISBN: 0128170786 ISBN-13(EAN): 9780128170786
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control.

As well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends.

Analyzing Neural Time Series Data: Theory and Practice

Автор: Cohen Mike X.
Название: Analyzing Neural Time Series Data: Theory and Practice
ISBN: 0262019876 ISBN-13(EAN): 9780262019873
Издательство: MIT Press
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Цена: 11850.00 р.
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Описание:

A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.

This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists.

Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the "analyze now" button.

The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.


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