Prediction of the Mechanical Characteristic of Bamboo Using Deep Neural Network
Author:
Affiliation:
1. University of Mauritius,Mechanical & Production Engineering Department,Réduit,Mauritius
2. University of Mauritius,Department of Software and Information Systems,Réduit,Mauritius
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252163/10252090/10253219.pdf?arnumber=10253219
Reference13 articles.
1. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
2. Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells
3. Prediction of mechanical properties in magnesia based refractory materials using ANN
4. Application of Neural Networks for the Estimation of the Shear Strength of Circular RC Columns
5. BIM Bamboo: a digital design framework for bamboo culms
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