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Statistical Process Monitoring Using Advanced Datadriven And Deep Learning Approaches Theory And Practical Applications 1st Edition Fouzi Harrou

  • SKU: BELL-11295874
Statistical Process Monitoring Using Advanced Datadriven And Deep Learning Approaches Theory And Practical Applications 1st Edition Fouzi Harrou
$ 31.00 $ 45.00 (-31%)

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Statistical Process Monitoring Using Advanced Datadriven And Deep Learning Approaches Theory And Practical Applications 1st Edition Fouzi Harrou instant download after payment.

Publisher: Elsevier
File Extension: PDF
File size: 26.09 MB
Pages: 328
Author: Fouzi Harrou, Ying Sun, Amanda S. Hering, Muddu Madakyaru, abdelkader Dairi
ISBN: 9780128193655, 0128193654
Language: English
Year: 2020
Edition: 1

Product desciption

Statistical Process Monitoring Using Advanced Datadriven And Deep Learning Approaches Theory And Practical Applications 1st Edition Fouzi Harrou by Fouzi Harrou, Ying Sun, Amanda S. Hering, Muddu Madakyaru, Abdelkader Dairi 9780128193655, 0128193654 instant download after payment.

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques.

Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems.

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