Soft computing approach for mathematical modeling of engineering problems 9780367685997

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Название: Soft computing approach for mathematical modeling of engineering problems
ISBN: 9780367685997
Издательство: Taylor&Francis
Классификация:

Математика

Математическое моделирование

Информационные технологии: общие вопросы

ISBN-10: 036768599X
Обложка/Формат: Hardcover
Страницы: 204
Вес: 0.48 кг.
Дата издания: 01.09.2021
Язык: English
Иллюстрации: 22 tables, black and white; 36 line drawings, black and white; 12 halftones, black and white; 48 illustrations, black and white
Размер: 163 x 241 x 22
Читательская аудитория: Tertiary education (us: college)
Рейтинг:
Поставляется из: Европейский союз
Описание: This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with m
Дополнительное описание: 1. Soft Computing Techniques: An Overview. 2. Applications of Fuzzy Fractional Differential Equations in Medicine. 3. Industrial Internet of Things and Industry 4.0. 4. Industry 4.0 and its practice in terms of fuzzy uncertain environmen

Soft computing approach for mathematical modeling of engineering problems,