1 |
A two-experiment approach to Wiener system identification Bottegal G, Castro-Garcia R, Suykens JAK Automatica, 93, 282, 2018 |
2 |
Hammerstein system identification through best linear approximation inversion and regularisation Castro-Garcia R, Tiels K, Agudelo OM, Suykens JAK International Journal of Control, 91(8), 1757, 2018 |
3 |
A Fast Converging and Consistent Teaching-Learning-Self-Study Algorithm for Optimization: A Case Study of Tuning of LSSVM Parameters for the Prediction of NOx Emissions from a Tangentially Fired Pulverized Coal Boiler Ahmed F, Kim JK, Khan AU, Park HY, Yeo YK Journal of Chemical Engineering of Japan, 50(4), 273, 2017 |
4 |
Dual least squares support vector machines based spatiotemporal modeling for nonlinear distributed thermal processes Xu KK, Li HX, Yang HD Journal of Process Control, 54, 81, 2017 |
5 |
Selective ensemble modeling based on nonlinear frequency spectral feature extraction for predicting load parameter in ball mills Tang J, Chai TY, Liu Z, Yu W Chinese Journal of Chemical Engineering, 23(12), 2020, 2015 |
6 |
Short-term wind power prediction based on LSSVM-GSA model Yuan XH, Chen C, Yuan YB, Huang YH, Tan QX Energy Conversion and Management, 101, 393, 2015 |
7 |
Potential of visible/near-infrared hyperspectral imaging for rapid detection of freshness in unfrozen and frozen prawns Dai Q, Cheng JH, Sun DW, Pu HB, Zeng XA, Xiong Z Journal of Food Engineering, 149, 97, 2015 |
8 |
Potential of hyperspectral imaging for non-invasive determination of mechanical properties of prawn (Metapenaeus ensis) Dai Q, Cheng JH, Sun DW, Zeng XA Journal of Food Engineering, 136, 64, 2014 |
9 |
Classification of persimmon fruit origin by near infrared spectrometry and least squares-support vector machines Khanmohammadi M, Karami F, Mir-Marques A, Garmarudi AB, Garrigues S, de la Guardia M Journal of Food Engineering, 142, 17, 2014 |
10 |
LS-SVM approximate solution to linear time varying descriptor systems Mehrkanoon S, Suykens JAK Automatica, 48(10), 2502, 2012 |