Artificial neural networks for predicting the performance of novice CAD users based on their profiled technical attributes
This paper utilizes Artificial Neural Networks (ANN) to forecast the mechanical CAD performance of novice trainees involved in formal training. We utilize 3 Artificial Neural Networks, ANN, techniques: Feed-Forward Backpropagation, Elman Backpropagation, and Generalized Regression. We also compare t...
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| Format: | conferenceObject |
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2017
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| Online Access: | http://hdl.handle.net/10725/5672 http://dx.doi.org/10.1115/IMECE2011-63409 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1642727 |
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