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Applied Artificial Higher Order Neural Networks for Control and Recognition, Zhang Ming


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Автор: Zhang Ming
Название:  Applied Artificial Higher Order Neural Networks for Control and Recognition
ISBN: 9781522500636
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1522500634
Обложка/Формат: Hardback
Страницы: 315
Вес: 1.53 кг.
Дата издания: 30.05.2016
Серия: Advances in computational intelligence and robotics
Язык: English
Размер: 279 x 216 x 30
Читательская аудитория: Professional and scholarly
Ключевые слова: Neural networks & fuzzy systems
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Поставляется из: Англии
Описание: In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless.Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.


Neural Networks for Pattern Recognition

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 13939.00 р.
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Designs and Applied Principles of Artificial Neural Networks

Автор: Rogerson Jeremy
Название: Designs and Applied Principles of Artificial Neural Networks
ISBN: 163240138X ISBN-13(EAN): 9781632401380
Издательство: Неизвестно
Цена: 19304.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Principles Of Artificial Neural Networks (3Rd Edition)

Автор: Graupe Daniel
Название: Principles Of Artificial Neural Networks (3Rd Edition)
ISBN: 9814522732 ISBN-13(EAN): 9789814522731
Издательство: World Scientific Publishing
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Цена: 19008.00 р.
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Описание: Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition - all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

Speech Processing, Recognition and Artificial Neural Networks

Автор: Gerard Chollet; Maria-Gabriella Di Benedetto; Anna
Название: Speech Processing, Recognition and Artificial Neural Networks
ISBN: 1852330945 ISBN-13(EAN): 9781852330941
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Speech Processing, Recognition and Artificial Neural Networks contains papers from leading researchers and selected students, discussing the experiments, theories and perspectives of acoustic phonetics as well as the latest techniques in the field of spe ech science and technology. Auditory and Neural Network Models for Speech;

Artificial Higher Order Neural Networks for Modeling and Simulation

Автор: Ming Zhang
Название: Artificial Higher Order Neural Networks for Modeling and Simulation
ISBN: 1466621753 ISBN-13(EAN): 9781466621756
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Artificial Higher Order Neural Networks for Modeling and Simulation introduces artificial Higher Order Neural Networks (HONNs) to professionals working in the fields of modeling and simulation, and explains that HONN is an open-box artificial neural network tool as compared to traditional artificial neural networks. Including details of the most popular HONN models, this book provides an opportunity for practitioners in the field of modeling and simulations to understand and know how to use HONNS in their area of expertise.

Artificial Neural Networks for Modelling and Control of Non-Linear Systems

Автор: Johan A.K. Suykens; Joos P.L. Vandewalle; B.L. de
Название: Artificial Neural Networks for Modelling and Control of Non-Linear Systems
ISBN: 0792396782 ISBN-13(EAN): 9780792396789
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems.

Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms

Автор: Vardan Mkrttchian, Ekaterina Aleshina, Leyla Gamid
Название: Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms
ISBN: 1799815811 ISBN-13(EAN): 9781799815815
Издательство: Mare Nostrum (Eurospan)
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Цена: 32987.00 р.
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Описание: Competition in today's global market offers strong motivation for the development of sophisticated tools within computer science. The neuron multi-functional technology platform is a developing field of study that regards the various interactive approaches that can be applied within this subject matter. As advancing technologies continue to emerge, managers and researchers need a compilation of research that discusses the advancements and specific implementations of these intelligent approaches with this platform.

Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms is a pivotal reference source that provides vital research on the application of artificial and natural approaches towards neuron-based programs. While highlighting topics such as natural intelligence, neurolinguistics, and smart data storage, this publication presents techniques, case studies, and methodologies that combine the use of intelligent artificial and natural approaches with optimization techniques for facing problems and combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. This book is ideally designed for researchers, practitioners, scientists, field experts, professors, and students seeking current research on the optimization of avatar-based advancements in multifaceted technology systems.

Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms

Автор: Vardan Mkrttchian, Ekaterina Aleshina, Leyla Gamidullaeva
Название: Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms
ISBN: 179981582X ISBN-13(EAN): 9781799815822
Издательство: Mare Nostrum (Eurospan)
Цена: 27027.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Competition in today's global market offers strong motivation for the development of sophisticated tools within computer science. The neuron multi-functional technology platform is a developing field of study that regards the various interactive approaches that can be applied within this subject matter. As advancing technologies continue to emerge, managers and researchers need a compilation of research that discusses the advancements and specific implementations of these intelligent approaches with this platform. Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms is a pivotal reference source that provides vital research on the application of artificial and natural approaches towards neuron-based programs. While highlighting topics such as natural intelligence, neurolinguistics, and smart data storage, this publication presents techniques, case studies, and methodologies that combine the use of intelligent artificial and natural approaches with optimization techniques for facing problems and combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. This book is ideally designed for researchers, practitioners, scientists, field experts, professors, and students seeking current research on the optimization of avatar-based advancements in multifaceted technology systems.

Human Face Recognition Using Third-Order Synthetic Neural Networks

Автор: Okechukwu A. Uwechue; Abhijit S. Pandya
Название: Human Face Recognition Using Third-Order Synthetic Neural Networks
ISBN: 0792399579 ISBN-13(EAN): 9780792399575
Издательство: Springer
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Цена: 21655.00 р.
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Описание: Explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. This book serves as a reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.

Artificial Neural Networks for Engineering Applications

Автор: Alanis, Alma
Название: Artificial Neural Networks for Engineering Applications
ISBN: 0128182474 ISBN-13(EAN): 9780128182475
Издательство: Elsevier Science
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Цена: 17180.00 р.
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Описание: Hoe bestuur je een wendbare organisatie, of beter, hoe bestuur je een organisatie naar een blijvende wendbare organisatie?¢ Ben jij lid van het Managementteam (MT) of lid van de directie die de noodzaak tot verandering in besturing ziet, die de urgentie voelt om daar iets aan te doen en gehoor hiervoor wil vinden bij de collega leden van het MT of directie? ¢ Ben jij een coach in een organisatie die beweging richting een wendbare organisatie vooral bottom up ziet groeien, een beweging waar je de top down beweging aan toe wil voegen?. In deze pocketguide vind je een praktische methode hoe dit aan te pakken. Besturen in een steeds sneller veranderende wereld. Met de waan van de dag die vaak veel aandacht vraagt en die je kan afleiden van de te behalen resultaten. De auteurs gaan in op het operationaliseren van de strategische organisatiedoelen en daarmee het besturen van de gehele organisatie. De stellingname van dit boek is: maak scherp wat dit kwartaal bereikt moet worden om de strategische doelen te bereiken. Stuur kort cyclisch om te kunnen reageren op veranderende klantwensen of gewijzigde wet- en regelgeving. Werk samen als managementteam of directie richting dje strategische doelen en voorkom dat iedereen in de organisatie vooral een eigen doel nastreeft. Breng meer focus in de operationalisering van de strategie, minder met "brandjes" bezig zijn en meer met het voorkomen ervan. Krijg snel helder wat je medewerkers belemmert in hun werk. Lukt het om de belemmeringen in jouw organisatie snel op te lossen? De kern van deze pocketguide betreft het FOCUS- bord. Deze manier van visual management is een krachtig middel in de besturing. De toepassing ervan zorgt voor samenwerking tussen alle lagen in de organisatie, kort cyclisch sturen en focus op het behalen van de strategische doelen.

Toward Deep Neural Networks

Автор: Zhang
Название: Toward Deep Neural Networks
ISBN: 1138387037 ISBN-13(EAN): 9781138387034
Издательство: Taylor&Francis
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Цена: 19140.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors` 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.

Advancements in Instrumentation and Control in Applied System Applications

Автор: Srijan Bhattacharya
Название: Advancements in Instrumentation and Control in Applied System Applications
ISBN: 1799825841 ISBN-13(EAN): 9781799825845
Издательство: Mare Nostrum (Eurospan)
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Цена: 30215.00 р.
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Описание: As technology continues to advance in today's global market, practitioners are targeting systems with significant levels of applicability and variance. Instrumentation is a multidisciplinary subject that provides a wide range of usage in several professional fields, specifically engineering. Instrumentation plays a key role in numerous daily processes and has seen substantial advancement in recent years. It is of utmost importance for engineering professionals to understand the modern developments of instruments and how they affect everyday life.

Advancements in Instrumentation and Control in Applied System Applications is a collection of innovative research on the methods and implementations of instrumentation in real-world practices including communication, transportation, and biomedical systems. While highlighting topics including smart sensor design, medical image processing, and atrial fibrillation, this book is ideally designed for researchers, software engineers, technologists, developers, scientists, designers, IT professionals, academicians, and post-graduate students seeking current research on recent developments within instrumentation systems and their applicability in daily life.


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