Ara
Toplam kayıt 3, listelenen: 1-3
Estimation of strengths of hybrid FR-SCC by using deep-learning and support vector regression models
(2021)
In this work, to estimate the compressive, splitting tensile, and flexuralstrength of self-compacting concrete (SCC) having single fiber and binary, ter-nary, and quaternary fiber hybridization, the deep-learning (DL) and ...
Deep learning and machine learning-based prediction of capillary water absorption of hybrid fiber reinforced self-compacting concrete
(2022)
Deep auto-encoders and long short-term memory methodology (LSTM) basedon deep learning as well as support vector regression (SVR) and k-nearestneighbors (kNN) based on machine learning models for the capillary waterabsorption ...
A Novel Short-Term Photovoltaic Power Forecasting Approach based on Deep Convolutional Neural Network
(2021)
In this study, a novel photovoltaic power forecasting system that utilizes a deep Convolutional Neural Network (CNN) structure and an input signal decomposition algorithm is proposed. The proposed CNN architecture extracts ...