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Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications, Lin Xiao, Lei Jia


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Цена: 16790.00р.
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При оформлении заказа до: 2025-08-04
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Автор: Lin Xiao, Lei Jia   (Сяо Линь)
Название:  Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications
Перевод названия: Сяо Линь: Обнуление нейронных сетей. Проектирование сходимости за конечное время, анализ и применени
ISBN: 9781119985990
Издательство: Wiley
Классификация:

ISBN-10: 1119985994
Обложка/Формат: Hardback
Страницы: 432
Вес: 0.68 кг.
Дата издания: 04.11.2022
Язык: English
Размер: 229 x 152 x 24
Читательская аудитория: Professional & vocational
Подзаголовок: Finite-time convergence design, analysis and applications
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
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.




Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis

Автор: Adams Anthony
Название: Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis
ISBN: 1914065565 ISBN-13(EAN): 9781914065569
Издательство: Неизвестно
Рейтинг:
Цена: 6896.00 р.
Наличие на складе: Нет в наличии.

Описание: This Comprehensive Guide Will Help You Take the Headache Out of Python Coding, Programming, and Data Analysis


Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?

The first step in learning any programming language is making sure that you understand how to learn it.


(This is the color version of the book)


The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.


Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time


This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.


Here is what this book will teach you:

- The fundamental skills that will bootstrap you as a programmer

- Everything you should know about coding, programming, machine learning, and data analysis

- How to become an expert in using Python

- Make your program come to life with practical exercises

- How to start profiting from your coding and programming skills


This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.


Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.

Ready to become an expert in coding and programming? Grab this book and start your Python journey


Get Your Copy
Neural Networks Modeling And Control

Автор: Rios, Jorge D.
Название: Neural Networks Modeling And Control
ISBN: 0128170786 ISBN-13(EAN): 9780128170786
Издательство: Elsevier Science
Рейтинг:
Цена: 19875.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Self-Organising Neural Networks

Автор: Mark Girolami
Название: Self-Organising Neural Networks
ISBN: 185233066X ISBN-13(EAN): 9781852330668
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume presents the theory and applications of self organizing neural network models which perform the independent component analysis (ICA) transformation and blind source separation (BSS).

Deep Learning Neural Networks: Design And Case Studies

Автор: Graupe Daniel
Название: Deep Learning Neural Networks: Design And Case Studies
ISBN: 9813146451 ISBN-13(EAN): 9789813146457
Издательство: World Scientific Publishing
Рейтинг:
Цена: 6336.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.

This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research.

Neural Networks in the Analysis and Design of Structures

Автор: Zenon Waszczysznk
Название: Neural Networks in the Analysis and Design of Structures
ISBN: 3211833226 ISBN-13(EAN): 9783211833223
Издательство: Springer
Рейтинг:
Цена: 12157.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Neural Networks are a new, interdisciplinary tool for information processing. Neurocomputing being successfully introduced to structural problems which are difficult or even impossible to be analysed by standard computers (hard computing).

Art of learning

Автор: Yu, Francis T.s. (pennsylvania State University, University Park, Usa) Yu, Edward H. Yu, Ann G.
Название: Art of learning
ISBN: 0815361297 ISBN-13(EAN): 9780815361299
Издательство: Taylor&Francis
Рейтинг:
Цена: 9033.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The art of learning, associative, cognitive, and creative learning are stated and defined. Learning simplicity, information content as related to neural network learning are discussed. Additionally, the author discusses neural plasticity and adaptability in smarter neural networks.

Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities

Автор: Waqas Ahmed Imtiaz, Rastislav Roka
Название: Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities
ISBN: 1522597670 ISBN-13(EAN): 9781522597674
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 28552.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: By the end of the decade, approximately 50 billion devices will be connected over the internet using multiple services such as online gaming, ultra-high definition videos, and 5G mobile services. The associated data traffic demand in both fixed and mobile networks is increasing dramatically, causing network operators to have to migrate the existing optical networks towards next-generation solutions. The main challenge within this development stems from network operators having difficulties finding cost-effective next-generation optical network solutions that can match future high capacity demand in terms of data, reach, and the number of subscribers to support multiple network services on a common network infrastructure. Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities is an essential reference source that discusses the next generation of high capacity passive optical access networks (PON) in terms of design, implementation, and analysis and offers a complete reference of technology solutions for next-generation optical networks. Featuring research on topics such as artificial intelligence, electromagnetic interface, and wireless communication, this book is ideally designed for researchers, engineers, scientists, and students interested in understanding, designing, and analyzing the next generation of optical networks.

Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis

Автор: Adams Anthony
Название: Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis
ISBN: 1914065069 ISBN-13(EAN): 9781914065064
Издательство: Неизвестно
Рейтинг:
Цена: 3444.00 р.
Наличие на складе: Нет в наличии.

Описание: This Comprehensive Guide Will Help You Take the Headache Out of Python Coding, Programming, and Data Analysis


Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?


The first step in learning any programming language is making sure that you understand how to learn it.


The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.


Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time


This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.


Here is what this book will teach you:

-The fundamental skills that will bootstrap you as a programmer

-Everything you should know about coding, programming, machine learning, and data analysis

-How to become an expert in using Python

-Make your program come to life with practical exercises

-How to start profiting from your coding and programming skills


This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.


Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.

Ready to become an expert in coding and programming? Grab this book and start your Python journey


Get Your Copy
Applied Data Analytics - Principles and Applications

Автор: Johnson I. Agbinya
Название: Applied Data Analytics - Principles and Applications
ISBN: 8770220964 ISBN-13(EAN): 9788770220965
Издательство: Taylor&Francis
Рейтинг:
Цена: 14851.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors.

Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualisation systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications.

The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts.

This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence, environmental sensor data modelling and analysis, health informatics, business data analytics, data from Internet of Things and deep learning applications.

Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis

Автор: Adams Anthony
Название: Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis
ISBN: 191406528X ISBN-13(EAN): 9781914065286
Издательство: Неизвестно
Рейтинг:
Цена: 5513.00 р.
Наличие на складе: Нет в наличии.

Описание: This Comprehensive Guide Will Help You Take the Headache Out of Python Coding, Programming, and Data Analysis


Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?


The first step in learning any programming language is making sure that you understand how to learn it.


The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.


Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time


This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.


Here is what this book will teach you:

-The fundamental skills that will bootstrap you as a programmer

-Everything you should know about coding, programming, machine learning, and data analysis

-How to become an expert in using Python

-Make your program come to life with practical exercises

-How to start profiting from your coding and programming skills


This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.


Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.

Ready to become an expert in coding and programming? Grab this book and start your Python journey


Get Your Copy
Deep Learning Neural Networks: Design And Case Studies

Автор: Graupe Daniel
Название: Deep Learning Neural Networks: Design And Case Studies
ISBN: 9813146443 ISBN-13(EAN): 9789813146440
Издательство: World Scientific Publishing
Цена: 11563.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.

This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research.

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)
Рейтинг:
Цена: 30215.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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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