Motivation, Emotion, and Goal Direction in Neural Networks, Levine, Daniel S.

Автор: Lin Xiao, Lei Jia
Название: Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications
ISBN: 1119985994 ISBN-13(EAN): 9781119985990
Издательство: Wiley
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Цена: 111930.00 T
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Описание: Zeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps.

Zeroing Neural Networks provides in-depth information on the finite-time convergence of ZNN models in solving computational problems. Divided into eight parts, this comprehensive resource covers modeling methods, theoretical analysis, computer simulations, nonlinear activation functions, and more. Each part focuses on a specific type of time-varying computational problem, such as the application of FTZNN to the Lyapunov equation, linear matrix equation, and matrix inversion.

Throughout the book, tables explain the performance of different models, while numerous illustrative examples clarify the advantages of each FTZNN method. In addition, the book: Describes how to design, analyze, and apply FTZNN models for solving computational problems Presents multiple FTZNN models for solving time-varying computational problems Details the noise-tolerance of FTZNN models to maximize the adaptability of FTZNN models to complex environments Includes an introduction, problem description, design scheme, theoretical analysis, illustrative verification, application, and summary in every chapter Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications is an essential resource for scientists, researchers, academic lecturers, and postgraduates in the field, as well as a valuable reference for engineers and other practitioners working in neurocomputing and intelligent control.

Автор: Wasserman Theodore, Wasserman Lori
Название: Motivation, Effort, and the Neural Network Model
ISBN: 3030587231 ISBN-13(EAN): 9783030587239
Издательство: Springer
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Цена: 46570.00 T
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Описание: This process of modification is, in part, based on the operation of a network based error-prediction network working in concert with the reward network to produce a system of ever evolving valuations of goals and objectives.

Автор: Wasserman Theodore, Wasserman Lori
Название: Motivation, Effort, and the Neural Network Model
ISBN: 3030587266 ISBN-13(EAN): 9783030587260
Издательство: Springer
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Цена: 46570.00 T
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Описание: This process of modification is, in part, based on the operation of a network based error-prediction network working in concert with the reward network to produce a system of ever evolving valuations of goals and objectives.

Автор: Shigeo Abe
Название: Neural Networks and Fuzzy Systems
ISBN: 0792398149 ISBN-13(EAN): 9780792398141
Издательство: Springer
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Цена: 130430.00 T
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Описание: Discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems. This book includes performance comparison of neural networks and fuzzy systems using data gathered from real systems. It covers topics covered like: Hopfield network for combinatorial optimization problems, multilayered neural networks.

Автор: Ben Yuhas; Nirwan Ansari
Название: Neural Networks in Telecommunications
ISBN: 0792394178 ISBN-13(EAN): 9780792394174
Издательство: Springer
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Цена: 232910.00 T
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Описание: This text aims to provide an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media.

Автор: Stephen W. Ellacott; John C. Mason; Iain J. Anders
Название: Mathematics of Neural Networks
ISBN: 0792399331 ISBN-13(EAN): 9780792399339
Издательство: Springer
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Цена: 241310.00 T
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Описание: The conference organisers were John Mason (Huddersfield) and Steve Ellacott (Brighton), supported by a programme committee consisting of Nigel Allinson (UMIST), Norman Biggs (London School of Economics), Chris Bishop (Aston), David Lowe (Aston), Patrick Parks (Oxford), John Taylor (King`s College, Lon- don) and Kevin Warwick (Reading).

Автор: Goldberg Yoav
Название: Neural Network Methods in Natural Language Processing
ISBN: 1627052984 ISBN-13(EAN): 9781627052986
Издательство: Mare Nostrum (Eurospan)
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Цена: 76690.00 T
Наличие на складе: Нет в наличии.
Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Автор: Concha Bielza, Pedro Larranaga
Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models
ISBN: 110849370X ISBN-13(EAN): 9781108493703
Издательство: Cambridge Academ
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Цена: 85530.00 T
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Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.

Автор: Oswald Campesato
Название: Natural Language Processing Fundamentals for Developersbility of Aircraft Gas Turbine Combustors
ISBN: 1683926579 ISBN-13(EAN): 9781683926573
Издательство: Mare Nostrum (Eurospan)
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Цена: 55440.00 T
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Описание: A book for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics.

Автор: Rios, Jorge D.
Название: Neural Networks Modeling And Control
ISBN: 0128170786 ISBN-13(EAN): 9780128170786
Издательство: Elsevier Science
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Цена: 132500.00 T
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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.

Автор: Maital Neta; Ingrid J. Haas
Название: Emotion in the Mind and Body
ISBN: 3030274721 ISBN-13(EAN): 9783030274726
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the 66th volume in the prestigious Nebraska Series on Motivation, this book focuses on understanding emotion and motivation as two factors that not only influence social and cognitive processes, but also shape the way we navigate our social world. Research on emotion has increased significantly over the past two decades, pulling from scholarship in psychology, neuroscience, medicine, political science, sociology, and even computer science. This volume is informed by the growing momentum in the resulting interdisciplinary field of affective science, and examines the role of emotion and motivation in our perceptions, decision-making, and social interactions, and attempts to understand the neurobiological mechanisms that support these processes across the lifespan in both healthy and clinical populations. Included among the chapters:Emotion concept development from childhood to adulthoodEvolving psychological and neural models for the regulation of emotionPathways to motivational impairments in psychopathologyA valuation systems perspective on motivationReproducible, generalizable brain models of affective processesEmotion in the Mind and Body is a comprehensive and compelling rendering of the current state of the interdisciplinary field of affective science, and will be of interest to researchers and students working in psychology and neuroscience, as well as medicine, political science, and sociology.

Автор: Maital Neta; Ingrid J. Haas
Название: Emotion in the Mind and Body
ISBN: 3030274756 ISBN-13(EAN): 9783030274757
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Поставка под заказ.