Artificial Intelligence and Digital Systems Engineering

Author:   Adedeji B. Badiru (Air Force Institute of Technology, Dayton, Ohio, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367545475


Pages:   112
Publication Date:   12 August 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Artificial Intelligence and Digital Systems Engineering


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Overview

The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

Full Product Details

Author:   Adedeji B. Badiru (Air Force Institute of Technology, Dayton, Ohio, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   1.140kg
ISBN:  

9780367545475


ISBN 10:   0367545470
Pages:   112
Publication Date:   12 August 2021
Audience:   General/trade ,  College/higher education ,  Adult education ,  General ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Understanding AI. 2. Expert Systems: The Software Side of AI. 3. Digital Systems Framework of AI. 4. Neural Networks for Artificial Intelligence. 5. Neural-Fuzzy Networks for Artificial Intelligence.

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Author Information

Adedeji Badiru is a professor of systems engineering at the Graduate School of Engineering and Management at the Air Force Institute of Technology. He was previously Professor and Department Head of Industrial Engineering at the University of Tennessee, and Professor of Industrial Engineering at the University of Oklahoma. He is a registered professional engineer (PE), a certified Project Management Professional (PMP), and a Fellow of the Institute of Industrial & Systems Engineers. He is the author of over 30 books, 34 book chapters, and 80 technical journal articles. He is a member of several professional associations and scholastic honor societies.

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