1 |
Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes Liu T, Chen S, Liang S, Du DJ, Harris CJ Journal of Process Control, 93, 53, 2020 |
2 |
Modified inferential POD/ML for data-driven inverse procedure of steam reformer for 5-kW HT-PEMFC Koo B, Jo T, Lee D Computers & Chemical Engineering, 121, 375, 2019 |
3 |
Experimental investigation and radial basis function network modeling of direct evaporative cooling systems Kavaklioglu K, Koseoglu MF, Caliskan O International Journal of Heat and Mass Transfer, 126, 139, 2018 |
4 |
RBFN based MPPT algorithm for PV system with high step up converter Saravanan S, Babu NR Energy Conversion and Management, 122, 239, 2016 |
5 |
Novel sky discretization method for optical annual assessment of solar tower plants Schottl P, Moreno KO, van Rooyen D, Bern G, Nitz P Solar Energy, 138, 36, 2016 |
6 |
Dynamic operation and control of microgrid hybrid power systems Ou TC, Hong CM Energy, 66, 314, 2014 |
7 |
Development of intelligent MPPT (maximum power point tracking) control for a grid-connected hybrid power generation system Hong CM, Ou TC, Lu KH Energy, 50, 270, 2013 |
8 |
Maximum power point tracking-based control algorithm for PMSG wind generation system without mechanical sensors Hong CM, Chen CH, Tu CS Energy Conversion and Management, 69, 58, 2013 |
9 |
Modeling the Flux Decline during Protein Microfiltration: A Comparison between Feed-Forward Back Propagation and Radial Basis Function Neural Networks Ghandehari S, Montazer-Rahmati MM, Asghari M Separation Science and Technology, 48(9), 1324, 2013 |
10 |
An ECT System Based on Improved RBF Network and Adaptive Wavelet Image Enhancement for Solid/Gas Two-phase Flow Chen X, Hu HL, Zhang J, Zhou QL Chinese Journal of Chemical Engineering, 20(2), 359, 2012 |