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- Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

abdelkader Dairi
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches
Balsavo 0
ISBN: 9780128193655
Autorius : abdelkader Dairi
Leidimo metai: 2020
Leidėjas: Elsevier
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9×6
Autorius : abdelkader Dairi
Leidimo metai: 2020
Leidėjas: Elsevier
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9×6
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Iš leidyklos gausime per 3-5 savaitės. Galimas vėlavimas
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Aprašymas
<i>Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches</i> 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. <p>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.</p>
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