| 1 |
Correlation analysis andMLP/CMLPfor optimum variables to predict orientation and tilt angles in intelligent solar tracking systems
AL-Rousan N, Isa NAM, Desa MKM
International Journal of Energy Research, 45(1), 453, 2021 |
| 2 |
Modelling and optimization of Fenton processes through neural network and genetic algorithm
Cuce H, Temel FA, Yolcu OC
Korean Journal of Chemical Engineering, 38(11), 2265, 2021 |
| 3 |
Improving the CFPP property of biodiesel via composition design: An intelligent raw material selection strategy based on different machine learning algorithms
Cui ZH, Huang S, Wang M, Nie KL, Fang YM, Tan TW
Renewable Energy, 170, 354, 2021 |
| 4 |
Shallow Versus Deep Neural Networks in Gear Fault Diagnosis
Cirrincione G, Kumar RR, Mohammadi A, Kia SH, Barbiero P, Ferretti J
IEEE Transactions on Energy Conversion, 35(3), 1338, 2020 |
| 5 |
Precise prediction of biogas thermodynamic properties by using ANN algorithm
Farzaneh-Gord M, Mohseni-Gharyehsafa B, Arabkoohsar A, Ahmadi MH, Sheremet MA
Renewable Energy, 147, 179, 2020 |
| 6 |
Characterization of a polycrystalline photovoltaic cell using artificial neural networks
Cortes B, Sanchez RT, Flores JJ
Solar Energy, 196, 157, 2020 |
| 7 |
Applying an artificial neural network to assess thermal transmittance in walls by means of the thermometric method
Bienvenido-Huertas D, Moyano J, Rodriguez-Jimenez CE, Marin D
Applied Energy, 233, 1, 2019 |
| 8 |
Multi-channel low-cost light spectrum measurement using a multilayer perceptron
Botero-Valencia JS, Valencia-Aguirre J, Durmus D, Davis W
Energy and Buildings, 199, 579, 2019 |
| 9 |
Prediction of CH4 adsorption on different activated carbons by developing an optimal multilayer perceptron artificial neural network
Yang KJ, Xiong MM
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(17), 2061, 2019 |
| 10 |
Experimental based multilayer perceptron approach for prediction of evacuated solar collector performance in humid subtropical regions
Bhowmik M, Muthukumar P, Anandalakshmi R
Renewable Energy, 143, 1566, 2019 |
