Lectures on intelligent systems / Leonardo Vanneschi, Sara Silva.
2023
Q335
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Unlimited
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Can lend chapters, not whole ebooks
Details
Title
Lectures on intelligent systems / Leonardo Vanneschi, Sara Silva.
Author
Vanneschi, Leonardo, author.
ISBN
9783031179228 (electronic bk.)
3031179226 (electronic bk.)
9783031179211
3031179218
3031179226 (electronic bk.)
9783031179211
3031179218
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xiv, 349 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-17922-8 doi
Call Number
Q335
Dewey Decimal Classification
006.3
Summary
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 tree learning, 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-contained style, suitable for undergraduate or graduate students in computer science and engineering, and for self-study by researchers and practitioners.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Description based on print version record.
Added Author
Silva, Sara, author.
Series
Natural computing series.
Available in Other Form
Lectures on intelligent systems.
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Online Access
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Table of Contents
Chapter 1: Introduction
Chapter 2: Optimization Problems and Local Search
Chapter 3: Genetic Algorithms
Chapter 4: Particle Swarm Optimization
Chapter 5: Introduction to Machine Learning
Chapter 6: Decision Tree Learning
Chapter 7: Artificial Neural Networks
Chapter 8: Genetic Programming
Bayesian Learning
Chapter 10: Support Vector Machines
Chapter 11: Ensemble Methods
Chapter 12: Unsupervised Learning.
Chapter 2: Optimization Problems and Local Search
Chapter 3: Genetic Algorithms
Chapter 4: Particle Swarm Optimization
Chapter 5: Introduction to Machine Learning
Chapter 6: Decision Tree Learning
Chapter 7: Artificial Neural Networks
Chapter 8: Genetic Programming
Bayesian Learning
Chapter 10: Support Vector Machines
Chapter 11: Ensemble Methods
Chapter 12: Unsupervised Learning.