Illustrated Computational Intelligence: Examples and Applications: 931 (Studies in Computational Intelligence, 931) - Hardcover

Sajja, Priti Srinivas

Hardcover

ISBN 10: 9811595887 ISBN 13: 9789811595882

Publisher: Springer, 2020

Synopsis

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.

About this title

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.

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2020
• Language: English
• ISBN 10: 9811595887
• ISBN 13: 9789811595882
• Binding: Hardcover
• Edition number: 1
• Number of pages: 240