Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Intelligence in Engineering: Discovering Unknown Patterns and Solutions

Artificial Intelligence in Engineering: Discovering Unknown Patterns and Solutions

Zambrano Eng, Fernando

Paperback

Technology & Engineering

ISBN13: 9798378609918
Publisher: Independently Published
Published: Feb 23 2023
Pages: 122
Weight: 0.28
Height: 0.26 Width: 5.00 Depth: 8.00
Language: English
Artificial Intelligence in Engineering: Discovering Unknown Patterns and Solutions is an guide that explores the integration of Artificial Intelligence into engineering. The book begins by providing a clear definition of Artificial Intelligence and delving into its historical development while also exploring the various types of AI, including weak, strong, and general AI.

In subsequent sections, the book explores the discovery of unknown patterns and solutions through AI, showcasing its capabilities in detecting and describing patterns. It further explores specific applications in urban planning, infrastructure construction, and risk evaluation for landslides and hillside slips. The book also covers utilizing automated learning systems within the engineering context, including linear regression, decision trees, and neural networks.

Moving on to the practical applications of Artificial Intelligence in Engineering, the book highlights the significant advancements it has brought to current simulation and mathematical calculation methods. Finally, it examines the challenges associated with implementing AI in engineering, such as limited knowledge and experience, incomplete or poor-quality data, and ethical considerations.

A dedicated chapter discusses the comparison between traditional simulation and mathematical calculation models and AI-based models, highlighting the significant benefits of integrating AI into these areas. Finally, the book concludes by providing insights into the development process of AI applications in engineering and offers recommendations and future perspectives on implementing AI within the field.

This book is essential reading for engineers and anyone interested in harnessing the power of Artificial Intelligence within the engineering realm. It provides a comprehensive overview of AI in engineering, encompassing its applications, challenges, and prospects, making it a beginning resource for those seeking to incorporate AI into their work.

TABLE OF CONTENTS:

Chapter 1: Introduction to Artificial Intelligence

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