Prediction of shear strength and behavior of RC beams strengthened with externally bonded FRP sheets using machine learning techniques
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DOI: 10.1016/j.compstruct.2019.111698
Abstract: Abstract This paper presents the use Machine Learning (ML) techniques to study the behavior of shear-deficient reinforced concrete (RC) beams strengthened in shear with side-bonded and U-wrapped fiber-reinforced polymers (FRP) laminates. An extensive database consisting… read more here.
Keywords: machine learning; strength behavior; rbpnn; learning techniques ... See more keywords
A CNN-RBPNN Model With Feature Knowledge Embedding and its Application to Time-Varying Signal Classification
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DOI: 10.1109/access.2020.3000798
Abstract: A novel technique, combining the feature extraction mechanisms of a convolutional neural network (CNN) with the classification method of a radial basis probability neural network (RBPNN), is proposed for small sample set modeling and feature… read more here.
Keywords: rbpnn; cnn rbpnn; feature knowledge; feature ... See more keywords