Название: Modern Adaptive Fuzzy Control Systems
Автор: Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang
Издательство: Springer
Год: 2023
Страниц: 161
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.

Название: Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
Автор: Hemachandran K., Shubham Tayal
Издательство: CRC Press
Год: 2022
Страниц: 149
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

This book introduces Bayesian reasoning and Gaussian processes into Machine Learning applications. Bayesian methods are applied in many areas, such as game development, decision making, and drug discovery. It is very effective for Machine Learning algorithms in handling missing data and extracting information from small datasets.Bayesian Reasoning and Gaussian Processes for Machine Learning Applications uses a statistical background to understand continuous distributions and how learning can be viewed from a probabilistic framework. The chapters progress into such machine learning topics as belief network and Bayesian reinforcement learning, which is followed by Gaussian process introduction, classification, regression, covariance, and performance analysis of Gaussian processes with other models. This book is aimed at graduates, researchers, and professionals in the field of Data Science and Machine Learning.

Название: Beginning MATLAB and Simulink: From Beginner to Pro, 2nd Edition
Автор: Sulaymon Eshkabilov
Издательство: Apress
Год: 2022
Страниц: 627
Язык: английский
Формат: pdf (true), epub (true)
Размер: 41.8 MB, 46.1 MB

Employ essential tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This revised edition covers features from the latest MATLAB 2022b release, as well as other features that have been released since the first edition published. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which will help you to learn programming and modelling essentials. You’ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems.

Название: Problems on Algorithms: A Comprehensive Exercise Book for Students in Software Engineering
Автор: Habib Izadkhah
Издательство: Springer
Год: 2022
Страниц: 519
Язык: английский
Формат: pdf (true), epub
Размер: 21.2 MB

With approximately 2500 problems, this book provides a collection of practical problems on the basic and advanced data structures, design, and analysis of algorithms. To make this book suitable for self-instruction, about one-third of the algorithms are supported by solutions, and some others are supported by hints and comments. This book is intended for students wishing to deepen their knowledge of algorithm design in an undergraduate or beginning graduate class on algorithms, for those teaching courses in this area, for use by practicing programmers who wish to hone and expand their skills, and as a self-study text for graduate students who are preparing for the qualifying examination on algorithms for a Ph.D. program in Computer Science or Computer Engineering. About all, it is a good source for exam problems for those who teach algorithms and data structure.

Название: Neural Networks, Machine Learning, and Image Processing: Mathematical Modeling and Applications
Автор: Manoj Sahni, Ritu Sahni
Издательство: CRC Press
Год: 2022
Страниц: 221
Язык: английский
Формат: pdf (true)
Размер: 16.5 MB

Mathematical modeling is a field that provides fresh insights into natural phenomena by approximating and formulating physical situations. Scientists gather real-world data relevant to a specific topic through observations or experiments and then develop mathematical models to explain and predict the behavior of the real-world object whose scientific model they created. These models are close representations of real objects, not exact replicas. Thus, it is essential to work on the development of more precise models by using various mathematical tools. Mathematical modeling becomes easier with the help of machine learning tools and neural network algorithms. Neural network algorithms, in fact, work in the same way that our brains do. We begin by observing any real-life phenomenon with our eyes or collecting data with machines such as microscopes, telescopes, and cameras, and then we process that data by hypothesizing the underlying principles hidden in the phenomenon. The neural network also receives inputs in the form of numerical data, text, images, or any type of pattern, then processes the inputs by translating those data through various algorithms, and finally generates outputs. The output was evaluated by using Simulink/MATLAB software.

Название: Random Process Analysis with R
Автор: Marco Bittelli, Roberto Olmi
Издательство: Oxford University Press
Год: 2022
Страниц: 513
Язык: английский
Формат: pdf (true)
Размер: 10.5 MB

Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, Computer Science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Consistent with modern trends in university education, the authors make readers active learners with hands-on computer experiments in R code directing them through RPA methods and helping them understand the underlying logic.

Название: Statistical Modeling With R: a dual frequentist and Bayesian approach for life scientists
Автор: Pablo Inchausti
Издательство: Oxford University Press
Год: 2023
Страниц: 519
Язык: английский
Формат: pdf (true)
Размер: 36.0 MB

To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the statistical framework to analyse their data depending on the nature and complexity of the problem, and based on their personal views and prior training on probability and uncertainty. Although textbooks and courses should reflect and anticipate this dual reality, they rarely do so. This accessible textbook explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists. It presents the material in an informal, approachable, and progressive manner suitable for readers with only a basic knowledge of calculus and statistics. This book will make extensive use of the R programming environment. This is an open-source (one can access and edit the code of all the R functions and save a revised version in one’s computer), interpreted (it does not require compilation to be executed) programming language environment for statistical computing and graphics.

Название: OCP Oracle Certified Professional Java SE 17 Developer Practice Tests: Exam 1Z0-829
Автор: Boyarsky J., Selikoff S.
Издательство: Sybex
Год: 2022
Страниц: 780
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Efficiently and effectively prepare for the OCP Java SE 17 certification exam. In OCP Oracle Certified Professional Java SE 17 Developer Practice Tests: Exam 1Z0-829, a team of veteran Java developers helps you gain the confidence and knowledge you need to take the Oracle Certified Professional Java SE 17 Developer exam. Hundreds of domain-by-domain questions accompany complimentary online access to bonus questions, providing you with over 1000 practice questions and answers.

Название: Asyncio и конкурентное программирование на Python
Автор: Мэтью Фаулер
Издательство: ДМК Пресс
Год: 2022
Страниц: 400
Язык: русский
Формат: pdf
Размер: 13.3 MB

Если типичную программу на стандартном Python подвергнуть слишком высокой нагрузке, то она будет работать с черепашьей скоростью. Для решения этой проблемы была разработана библиотека Asyncio, которая позволяет разбить программу на более мелкие задачи и планировать их выполнение. В итоге получающиеся приложения работают молниеносно и допускают масштабирование. В этой книге асинхронное, параллельное и конкурентное программирование рассматривается на конкретных примерах. Сложные для понимания вопросы иллюстрируются с помощью диаграмм, позволяющих наглядно представить, как работают задачи. Вы узнаете, как asyncio преодолевает ограничения Python и способствует ускорению медленных веб-серверов и микросервисов. Вы даже научитесь сочетать asyncio с традиционной многопроцессной обработкой, получив в награду резкий скачок производительности. Для программистов на Python среднего уровня. Опыт работы с конкурентностью не требуется.

Название: Sockets and Pipes : Connect with Haskell
Автор: Chris Martin, Julie Moronuki
Издательство: Leanpub
Год: 2022-09-01
Страниц: 288
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

Sockets and Pipes is not an introduction to Haskell; it is an introduction to writing software in Haskell. Using a handful of everyday Haskell libraries, this book walks through reading the HTTP specification and implementing it to create a web server. Satisfactory answer that does not assume substantial background knowledge requires spanning quite a few areas of computing. Fortunately, they all serve as fruitful motivations for simultaneously learning about how to use Haskell, which is the larger objective of the Joy of Haskell collection. The language a web server speaks is the Hypertext Transfer Protocol (HTTP), which this book explores in great detail while walking through the creation of a server from "scratch".