Computational Intelligence: A Methodological Introduction

This textbook provides a comprehensive introduction to computational intelligence, covering fundamental concepts, algorithms, and practical implementations. It has been revised and expanded with new content on deep learning, scalarization methods, large-scale optimization algorithms, and collective decision-making algorithms. It features supplementary material, classroom-tested examples, and insights into the successful application of computational intelligence methods.

Format: Hardback
Publication date: 16 February 2022
Publisher: Springer International Publishing

This comprehensive textbook offers a thorough and logical introduction to the field, delving into the fundamental concepts, algorithms, and practical implementations that drive the development of systems capable of exhibiting intelligent behavior in complex environments. In its enhanced third edition, this text has undergone a complete revision and expansion, incorporating extensive new content on deep learning, scalarization methods, large-scale optimization algorithms, and collective decision-making algorithms.

Key Features:

Comprehensive Coverage: The textbook provides a comprehensive overview of computational intelligence, covering a wide range of topics essential for understanding and applying these methods.

Supplementary Material: An associated website offers supplementary material, including lecture slides, code examples, and exercises, to enhance the learning experience.

Classroom-Tested Examples: Numerous classroom-tested examples and definitions are included throughout the text, making it easier for students to grasp the concepts and apply them to real-world scenarios.

Useful Insights: The book offers valuable insights into the necessary prerequisites for successful application of computational intelligence methods, including theoretical background, problem-solving approaches, and practical considerations.

Detailed Discussion: The classical areas of artificial neural networks, fuzzy systems, and evolutionary algorithms are discussed in great detail, providing a solid foundation for understanding these algorithms and their applications.

Recent Developments: The textbook reviews the latest developments in the field, covering topics such as ant colony optimization, probabilistic graphical models, and other emerging techniques.

By presenting a comprehensive and up-to-date introduction to computational intelligence, this textbook serves as a valuable resource for students, researchers, and practitioners in the field. Its comprehensive coverage, practical examples, and insightful discussions make it an essential tool for anyone seeking to advance their knowledge and expertise in this rapidly evolving area.

Weight: 0g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030422264