Systems engineering neural networks / Alessandro Migliaccio, Giovanni Iannone.

Format:

Book

Author/Creator:

Migliaccio, Alessandro, author.

Iannone, Giovanni, author.

Language:

English

Subjects (All):

Neural networks (Computer science).

Computer simulation.

Systems engineering.

Physical Description:

1 online resource (243 pages)

Place of Publication:

Hoboken, NJ : John Wiley & Sons, Inc., [2023]

Summary:

"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"-- Provided by publisher.

Contents:

Cover

Title Page

Copyright

Contents

About the Authors

Acknowledgements

How to Read this Book

Part I Setting the Scene

Chapter 1 A Brief Introduction

1.1 The Systems Engineering Approach to Artificial Intelligence (AI)

1.2 Chapter Summary

Questions

Chapter 2 Defining a Neural Network

2.1 Biological Networks

2.2 From Biology to Mathematics

2.3 We Came a Full Circle

2.4 The Model of McCulloch‐Pitts

2.5 The Artificial Neuron of Rosenblatt

2.6 Final Remarks

2.7 Chapter Summary

Sources

Chapter 3 Engineering Neural Networks

3.1 A Brief Recap on Systems Engineering

3.2 The Keystone: SE4AI and AI4SE

3.3 Engineering Complexity

3.4 The Sport System

3.5 Engineering a Sports Club

3.6 Optimization

3.7 An Example of Decision Making

3.8 Futurism and Foresight

3.9 Qualitative to Quantitative

3.10 Fuzzy Thinking

3.11 It Is all in the Tools

3.12 Chapter Summary

Part II Neural Networks in Action

Chapter 4 Systems Thinking for Software Development

4.1 Programming Languages

4.2 One More Thing: Software Engineering

4.3 Chapter Summary

Source

Chapter 5 Practice Makes Perfect

5.1 Example 1: Cosine Function

5.2 Example 2: Corrosion on a Metal Structure

5.3 Example 3: Defining Roles of Athletes

5.4 Example 4: Athlete's Performance

5.5 Example 5: Team Performance

5.5.1 A Human‐Defined‐System

5.5.2 Human Factors

5.5.3 The Sports Team as System of Interest

5.5.4 Impact of Human Error on Sports Team Performance

5.5.4.1 Dataset

5.5.4.2 Problem Statement

5.5.4.3 Feature Engineering and Extraction

5.5.4.4 Creation of Computed Columns

5.5.4.5 Explorative Data Analysis (EDA)

5.5.4.6 Extension ‐ Sampling Method for an Imbalanced Dataset.

5.5.4.7 Building a Neural Network Model

5.5.4.8 Training Outcome and Model Evaluation

5.5.4.9 Evaluate Using Test Data

5.6 Example 6: Trend Prediction

5.7 Example 7: Symplex and Game Theory

5.8 Example 8: Sorting Machine for Lego® Bricks

5.8.1 Challenge for Readers

Part III Down to the Basics

Chapter 6 Input/Output, Hidden Layer and Bias

6.1 Input/Output

6.2 Hidden Layer

6.2.1 How Many Hidden Nodes Should we Have?

6.3 Bias

6.4 Final Remarks

6.5 Chapter Summary

Chapter 7 Activation Function

7.1 Types of Activation Functions

7.2 Activation Function Derivatives

7.3 Activation Functions Response to W and b Variables

7.4 Final Remarks

7.5 Chapter Summary

Chapter 8 Cost Function, Back‐Propagation and Other Iterative Methods

8.1 What Is the Difference between Loss and Cost?

8.2 Training the Neural Network

8.3 Back‐Propagation (BP)

8.4 One More Thing: Gradient Method and Conjugate Gradient Method

8.5 One More Thing: Newton's Method

8.6 Chapter Summary

Chapter 9 Conclusions and Future Developments

Glossary and Insights

Index

EULA.

Notes:

Description based on print version record.

Other Format:

Print version: Migliaccio, Alessandro Systems Engineering Neural Networks

ISBN:

9781119902027

1119902029

9781119902003

1119902002

OCLC:

1356966060