Systems Engineering Neural Networks

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Alessandro Migliaccio (Delft University of Technology in Space Engineering, USA) Giovanni Iannone (University of Naples Federico II; Missouri University of Science and Technology, USA)

Systems Engineering Neural Networks

Alessandro Migliaccio (Delft University of Technology in Space Engineering, USA), Giovanni Iannone (University of Naples Federico II; Missouri University of Science and Technology, USA)

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English

John Wiley & Sons Inc
13 April 2023

Electronics engineering; Computer networking & communications; Computer architecture & logic design

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 element of complex systems

Practical discussions of systems engineering and forecasting, complexity theory and optimization 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.

By: Alessandro Migliaccio (Delft University of Technology in Space Engineering USA), Giovanni Iannone (University of Naples Federico II; Missouri University of Science and Technology, USA)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm, Spine: 14mm
Weight: 907g
ISBN: 9781119901990
ISBN 10: 1119901995
Pages: 240
Publication Date: 13 April 2023
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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.