Shubhabrata Datta,
J. Paulo Davim
Machine Learning in Industry
Gebonden Engels 2021 9783030758462
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783030758462
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing
Lezersrecensies
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Inhoudsopgave
Fundamentals of Machine learning.- Neural network model identification studies to predict residual stress of a steel plate based on a non-destructive Barkhausen noise measurement.- Data Driven Optimization of Blast Furnace Iron Making Process Using Evolutionary Deep Learning.- A brief appraisal of machine learning in industrial sensing probes.- Mining the genesis of sliver defects through Rough and Fuzzy Set Theories.
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan