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Recurrent and Deep Learning for Machine Prognostics
Keywords Recurrent Neural Networks, time series forecasting, supervised learning, Prognostics and Health Management, fault detection  +
Level Master  +
OneLineSummary Construct and optimise Recurrent Neural Networks for industrial applications on machine prognostics; Augmenting industrial data for supervised learning  +
Prerequisites Artificial Intelligence and Learning Systems courses; good knowledge in machine learning and neural networks; programming skills for implementing machine learning algorithms  +
StudentProjectStatus Finished  +
Supervisors Sławomir Nowaczyk + , Sepideh Pashami + , Yuantao Fan +
ThesisAuthor Kunru Chen  +
TimeFrame Fall 2017  +
Title Recurrent and Deep Learning for Machine Prognostics  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 14 October 2018 18:05:33  +
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