书目名称 | Lectures on Intelligent Systems | 编辑 | Leonardo Vanneschi,Sara Silva | 视频video | | 概述 | Provides the reader with an essential understanding of intelligent systems.Does not describe applications and instead focuses on computational methods.Discusses optimization problems and machine learn | 丛书名称 | Natural Computing Series | 图书封面 |  | 描述 | .This textbook provides the reader with an essential understanding of computational methods for intelligent systems. These are defined as systems that can solve problems autonomously, in particular problems where algorithmic solutions are inconceivable for humans or not practically executable by computers. Despite the rapidly growing applications in this field, the book avoids application details, instead focusing on computational methods that equip the reader with the methodological tools and competencies necessary to tackle current and future complex applications. .The book consists of two parts: computational intelligence methods for optimization, and machine learning. Part I begins with the concept of optimization, and introduces local search algorithms, genetic algorithms, and particle swarm optimization. Part II begins with an introduction to machine learning and covers several methods, many of which can be used as supervised learning algorithms, such as decision treelearning, artificial neural networks, genetic programming, Bayesian learning, support vector machines, and ensemble methods, plus a discussion of unsupervised learning..This textbook is written in a self-containe | 出版日期 | Textbook 2023 | 关键词 | Optimization; Computational Intelligence; Artificial Intelligence; Evolutionary Computing; Machine Learn | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-17922-8 | isbn_softcover | 978-3-031-17924-2 | isbn_ebook | 978-3-031-17922-8Series ISSN 1619-7127 Series E-ISSN 2627-6461 | issn_series | 1619-7127 | copyright | Springer Nature Switzerland AG 2023 |
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