Lectures on Intelligent Systems

This textbook provides an essential understanding of computational methods for intelligent systems, focusing on optimization and machine learning. It is written in a self-contained style and is suitable for undergraduate or graduate students, researchers, and practitioners.

Format: Hardback
Length: 349 pages
Publication date: 14 January 2023
Publisher: Springer International Publishing AG

This comprehensive textbook offers an indispensable exploration of computational methods for intelligent systems, which are defined as systems capable of solving complex problems autonomously, particularly those that are beyond the reach of human algorithms or impractical for computers to execute. Despite the rapidly expanding applications of this field, the book prioritizes the presentation of computational techniques rather than delving into specific application details. It is divided into two parts: computational intelligence methods for optimization and machine learning.

Part I begins by introducing the concept of optimization, encompassing local search algorithms, genetic algorithms, and particle swarm optimization. These algorithms serve as powerful tools for finding optimal solutions to a wide range of problems.

Part II then delves into machine learning, covering a diverse array of methods. Many of these methods can be classified as supervised learning algorithms, such as decision tree learning, artificial neural networks, genetic programming, Bayesian learning, support vector machines, and ensemble methods. Additionally, the book discusses unsupervised learning, a crucial area for discovering hidden patterns and structures in data.

Written in a self-contained manner, this textbook is designed to cater to undergraduate and graduate students in computer science and engineering, as well as self-study by researchers and practitioners. Its clear explanations and comprehensive coverage make it an invaluable resource for anyone seeking to gain a deep understanding of computational methods for intelligent systems.

Weight: 711g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031179211
Edition number: 1st ed. 2023