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Systems Engineering Neural Networks

By Alessandro Migliaccio and Giovanni Iannone
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Systems Engineering Neural Networks offers a comprehensive and authoritative examination of neural networks through the lens of systems engineering. The book presents foundational theories of systems engineering alongside deep learning principles, enriched with practical examples and applications ranging from engineering to sports business. It includes detailed coverage of neural network components such as hidden layers, activation functions, and back-propagation, as well as insights into complexity theory and optimisation. Supplementary materials include Python 3 and Microsoft Excel programmes to support hands-on learning.
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Format: Hardback
$25599
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for students, professionals, managers, and researchers keen to integrate machine learning into their workflows, this book serves those looking for both theoretical foundations and practical guidance in neural networks within a systems engineering framework.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Systems Engineering Neural Networks

A complete and authoritative discussion of systems engineering and neural networks

In Systems Engineering Neural Networks, a team of distinguished researchers deliver a thorough exploration of the fundamental concepts underpinning the creation and improvement of neural networks with a systems engineering mindset. In the book, you’ll find a general theoretical discussion of both systems engineering and neural networks accompanied by coverage of relevant and specific topics, from deep learning fundamentals to sport business applications.

Readers will discover in-depth examples derived from many years of engineering experience, a comprehensive glossary with links to further reading, and supplementary online content. The authors have also included a variety of applications programmed in both Python 3 and Microsoft Excel.

The book provides:

  • A thorough introduction to neural networks, introduced as key elements of complex systems
  • Practical discussions of systems engineering and forecasting, complexity theory, and optimisation and how these techniques can be used to support applications outside of the traditional AI domains
  • Comprehensive explorations of input and output, hidden layers, and bias in neural networks, as well as activation functions, cost functions, and back-propagation
  • Guidelines for software development incorporating neural networks with a systems engineering methodology

Perfect for students and professionals eager to incorporate machine learning techniques into their products and processes, Systems Engineering Neural Networks will also earn a place in the libraries of managers and researchers working in areas involving neural networks.

Book Details

INFORMATION

ISBN: 9781119901990

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 02 April 2023

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Professional and scholarly

DIMENSIONS

Weight: 907g

Pages: 240

Collections

Alessandro Migliaccio Computing & Technology Education & Reference Engineering, Technology & Agriculture Giovanni Iannone Non-Fiction

About the Author

Alessandro Migliaccio is a certified systems engineer and member of the INCOSE Artificial Intelligence Working Group. He is a graduate of the Delft University of Technology in Space Engineering, USA, and has second level master’s degree in Robotics and Intelligent Systems.

Giovanni Iannone is a mechanical engineer and a graduate of the University of Naples Federico II. Second level master’s degree in Systems Engineering at Missouri University of Science and Technology, USA. He has been an active member of INCOSE for several years.

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