| 1 |
Exploring the direct influence of control parameters of experimental facility for fuel cells based on improved generalized regression neural network
Li C, Pan MZ, Huang YT, Huang HZ, Lei H, Pan CJ, Wang QW
International Journal of Energy Research, 45(2), 3170, 2021 |
| 2 |
Short term load forecasting based on feature extraction and improved general regression neural network model
Liang Y, Niu DX, Hong WC
Energy, 166, 653, 2019 |
| 3 |
A new performance index for constant speed air-source heat pumps based on the nominal output heating capacity and a related modeling study
Wang W, Cui YM, Sun YY, Deng SM, Wu X, Liang SM
Energy and Buildings, 184, 205, 2019 |
| 4 |
A comparative assessment of predicting CH4 adsorption on different activated carbons using generalized regression neural network (GRNN), and adaptive network-based fuzzy inference system (ANFIS)
Yan H, Mou YL, Xu XF, Du JF, Wang R, Liu PJ
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(16), 1983, 2019 |
| 5 |
Risk prediction and factors risk analysis based on IFOA-GRNN and apriori algorithms: Application of artificial intelligence in accident prevention
Xie XC, Fu G, Xue YJY, Zhao ZQ, Chen P, Lu BJ, Jiang S
Process Safety and Environmental Protection, 122, 169, 2019 |
| 6 |
Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN-PSO
Bendu H, Deepak BBVL, Murugan S
Applied Energy, 187, 601, 2017 |
| 7 |
Application of GRNN for the prediction of performance and exhaust emissions in HCCI engine using ethanol
Bendu H, Deepak BBVL, Murugan S
Energy Conversion and Management, 122, 165, 2016 |
| 8 |
Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks
Antanasijevic D, Pocajt V, Ristic M, Peric-Grujic A
Energy, 84, 816, 2015 |
| 9 |
Profiling multiple static and transient puff-pastry characteristics with a robust-and-intelligent processor
Besseris GJ
Journal of Food Engineering, 164, 40, 2015 |
| 10 |
Dynamic operation and control of microgrid hybrid power systems
Ou TC, Hong CM
Energy, 66, 314, 2014 |
