Machine Learning in Industry (e-bog) af -
Davim, J. Paulo (redaktør)

Machine Learning in Industry e-bog

1313,81 DKK
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, help…
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
E-bog 1313,81 DKK
Forfattere Davim, J. Paulo (redaktør)
Forlag Springer
Udgivet 24.07.2021
Genrer Production and industrial engineering
Sprog English
Format epub
Beskyttelse LCP
ISBN 9783030758479

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.