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Deep Neural Networks and Applications, Ivan Stanimirovic


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Цена: 156150.00T
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Автор: Ivan Stanimirovic
Название:  Deep Neural Networks and Applications
ISBN: 9781774073452
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1774073455
Обложка/Формат: Hardback
Страницы: 290
Вес: 0.35 кг.
Дата издания: 30.01.2020
Серия: Computing & IT
Язык: English
Размер: H 229 X W 152
Читательская аудитория: Professional and scholarly
Ключевые слова: Artificial intelligence,Information technology: general issues, COMPUTERS / General
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Поставляется из: Англии
Описание: Presents various artificial neural networks (ANN) and the topologies related to main neural networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk management.

Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications

Название: Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications
ISBN: 1799804143 ISBN-13(EAN): 9781799804147
Издательство: Mare Nostrum (Eurospan)
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Цена: 2494800.00 T
Наличие на складе: Нет в наличии.
Описание: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Автор: W. Sandham; Fred Aminzadeh; M. Leggett
Название: Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
ISBN: 9048164761 ISBN-13(EAN): 9789048164769
Издательство: Springer
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Цена: 121110.00 T
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Описание: The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking;

Deep Learning Applications and Intelligent Decision Making in Engineering

Автор: Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Ravi Samikannu
Название: Deep Learning Applications and Intelligent Decision Making in Engineering
ISBN: 1799821080 ISBN-13(EAN): 9781799821083
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process.

Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

Deep Learning Applications and Intelligent Decision Making in Engineering

Автор: Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Ravi Samikannu
Название: Deep Learning Applications and Intelligent Decision Making in Engineering
ISBN: 1799821099 ISBN-13(EAN): 9781799821090
Издательство: Mare Nostrum (Eurospan)
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Цена: 166320.00 T
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Описание: Provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is designed for engineers, computer scientists, programmers, software engineers, researchers, academics, and students.

Applications of Neural Networks in High Assurance Systems

Автор: Johann M.Ph. Schumann; Yan Liu
Название: Applications of Neural Networks in High Assurance Systems
ISBN: 3642106897 ISBN-13(EAN): 9783642106897
Издательство: Springer
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Цена: 156720.00 T
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Описание: This is the first book to directly address a key part of neural network technology: state-of-the-art methods used to pass the tough verification and validation standards required in many safety-critical applications.

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: 81960.00 T
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.


Engineering Applications of Neural Networks

Автор: Jayne
Название: Engineering Applications of Neural Networks
ISBN: 3319441876 ISBN-13(EAN): 9783319441870
Издательство: Springer
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Цена: 63350.00 T
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Описание: This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.

Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications

Автор: S. Rajasekaran, G.A. Vijayalakshmi Pai
Название: Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications
ISBN: 812035334X ISBN-13(EAN): 9788120353343
Издательство: Mare Nostrum (Eurospan)
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Цена: 20330.00 T
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Описание: Provides a comprehensive introduction to a consortium of technologies underlying soft computing. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems.

Engineering Applications of Neural Networks

Автор: John Macintyre; Lazaros Iliadis; Ilias Maglogianni
Название: Engineering Applications of Neural Networks
ISBN: 3030202569 ISBN-13(EAN): 9783030202569
Издательство: Springer
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Цена: 85710.00 T
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Описание: This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019.The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.

Reconfigurable Cellular Neural Networks and Their Applications

Автор: M??tak E. Yal??n; Tuba Ayhan; Ramazan Yeni?eri
Название: Reconfigurable Cellular Neural Networks and Their Applications
ISBN: 3030178390 ISBN-13(EAN): 9783030178390
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Невозможна поставка.
Описание: The book demonstrates that reconfiguring a single-layer CNN is an easier and more flexible solution than the procedure required in a multilayer CNN, in which excitatory and inhibitory neurons are separate, and that the key CNN criteria of a spatially invariant template and local coupling are fulfilled.

Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence

Автор: Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu, Mingbo Zhao
Название: Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence
ISBN: 1799830381 ISBN-13(EAN): 9781799830382
Издательство: Mare Nostrum (Eurospan)
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Цена: 210670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While cognitive informatics and natural intelligence are receiving greater attention by researchers, multidisciplinary approaches still struggle with fundamental problems involving psychology and neurobiological processes of the brain. Examining the difficulties of certain approaches using the tools already available is vital for propelling knowledge forward and making further strides.

Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence is a collection of innovative research that examines the enhancement of human cognitive performance using emerging technologies. Featuring research on topics such as parallel computing, neuroscience, and signal processing, this book is ideally designed for engineers, computer scientists, programmers, academicians, researchers, and students.

Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence

Автор: Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu, Mingbo Zhao
Название: Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence
ISBN: 179983039X ISBN-13(EAN): 9781799830399
Издательство: Mare Nostrum (Eurospan)
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Цена: 291210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While cognitive informatics and natural intelligence are receiving greater attention by researchers, multidisciplinary approaches still struggle with fundamental problems involving psychology and neurobiological processes of the brain. Examining the difficulties of certain approaches using the tools already available is vital for propelling knowledge forward and making further strides.

Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence is a collection of innovative research that examines the enhancement of human cognitive performance using emerging technologies. Featuring research on topics such as parallel computing, neuroscience, and signal processing, this book is ideally designed for engineers, computer scientists, programmers, academicians, researchers, and students.


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