Overview
- Highlights the connection between artificial and machine intelligence techniques including hybrid soft computing techniques
- Discusses the utilization of several soft computing techniques in real-life scenarios
- Is a valuable resource for instructors, students, non–AI professionals, and researchers
Part of the book series: Studies in Computational Intelligence (SCI, volume 931)
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Table of contents (6 chapters)
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Front Matter
Keywords
About this book
This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.
Authors and Affiliations
About the author
Dr. Priti Srinivas Sajja has been working at the Post Graduate Department of Computer Science, Sardar Patel University, India, since 1994, and presently holds the post of Professor. She specializes in Artificial Intelligence and Machine Learning and has produced over 210 publications, which include seven books, two edited books, and thirteen book chapters. She is the author of Essence of Systems Analysis and Design (Springer, 2017) and co-author of Intelligent Techniques for Data Science (Springer, 2016), Intelligent Technologies for Web Applications (CRC Press, 2012), and Knowledge-Based Systems (J&B, 2009) published in Singapore, Switzerland, and the USA, and three books published in India. Further, she did major research projects funded by the University Grants Commission, India and Department of Science and Technology, India.
Bibliographic Information
Book Title: Illustrated Computational Intelligence
Book Subtitle: Examples and Applications
Authors: Priti Srinivas Sajja
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-981-15-9589-9
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-9588-2Published: 17 November 2020
Softcover ISBN: 978-981-15-9591-2Published: 17 November 2021
eBook ISBN: 978-981-15-9589-9Published: 16 November 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 225
Number of Illustrations: 2 b/w illustrations, 155 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Security Science and Technology, Machine Learning, Data Structures and Information Theory