Название: Soft Computing in Interdisciplinary Sciences
Автор: S. Chakraverty
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 264
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, Machine Learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, Artificial Intelligence, Machine Learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations.