A Comprehensive Guide to Neural Network Modeling, Steffen Skaar
Автор: Tiumentsev, Yury Название: Neural Network Modeling and Identification of Dynamical Systems ISBN: 0128152540 ISBN-13(EAN): 9780128152546 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft.
Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training
Offers application examples of dynamic neural network technologies, primarily related to aircraft
Provides an overview of recent achievements and future needs in this area
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
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
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
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.
Автор: Anthony, Martin Bartlett, Peter Название: Neural network learning ISBN: 052111862X ISBN-13(EAN): 9780521118620 Издательство: Cambridge Academ Рейтинг: Цена: 7920.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.
Автор: Goldberg Yoav Название: Neural Network Methods in Natural Language Processing ISBN: 1627052984 ISBN-13(EAN): 9781627052986 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11504.00 р. 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.
Описание: This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine.
Автор: Frank H. Eeckman Название: Analysis and Modeling of Neural Systems ISBN: 0792392175 ISBN-13(EAN): 9780792392170 Издательство: Springer Рейтинг: Цена: 25848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Frank H. Eeckman Название: Neural Systems: Analysis and Modeling ISBN: 0792392582 ISBN-13(EAN): 9780792392583 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the collected papers of the 1991 Conference on Analysis and Modeling of Neural Systems. The contributions included present an update of the most recent developments in quantitative analysis and modelling techniques for the study of neural systems.
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.
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