Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation X Chen, B Xu, C Mei, Y Ding, K Li Applied energy 212, 1578-1588, 2018 | 425 | 2018 |
Biogeography-based learning particle swarm optimization X Chen, H Tianfield, C Mei, W Du, G Liu Soft Computing 21, 7519-7541, 2017 | 248 | 2017 |
Model optimization of SVM for a fermentation soft sensor G Liu, D Zhou, H Xu, C Mei Expert Systems with Applications 37 (4), 2708-2713, 2010 | 110 | 2010 |
Randomization in particle swarm optimization for global search ability D Zhou, X Gao, G Liu, C Mei, D Jiang, Y Liu Expert Systems with Applications 38 (12), 15356-15364, 2011 | 77 | 2011 |
Measurement of process variables in solid-state fermentation of wheat straw using FT-NIR spectroscopy and synergy interval PLS algorithm H Jiang, G Liu, C Mei, S Yu, X Xiao, Y Ding Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 97, 277-283, 2012 | 71 | 2012 |
Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization X Chen, C Mei, B Xu, K Yu, X Huang Knowledge-Based Systems 145, 250-263, 2018 | 70 | 2018 |
Pattern recognition of eight hand motions using feature extraction of forearm EMG signal F Al Omari, J Hui, C Mei, G Liu Proceedings of the National Academy of Sciences, India Section A: Physical …, 2014 | 67 | 2014 |
Identification of solid state fermentation degree with FT-NIR spectroscopy: Comparison of wavelength variable selection methods of CARS and SCARS H Jiang, H Zhang, Q Chen, C Mei, G Liu Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 149, 1-7, 2015 | 64 | 2015 |
Monitoring of solid-state fermentation of wheat straw in a pilot scale using FT-NIR spectroscopy and support vector data description H Jiang, G Liu, X Xiao, C Mei, Y Ding, S Yu Microchemical Journal 102, 68-74, 2012 | 63 | 2012 |
Rapid determination of pH in solid-state fermentation of wheat straw by FT-NIR spectroscopy and efficient wavelengths selection H Jiang, G Liu, C Mei, S Yu, X Xiao, Y Ding Analytical and bioanalytical chemistry 404, 603-611, 2012 | 44 | 2012 |
Monitoring alcohol concentration and residual glucose in solid state fermentation of ethanol using FT-NIR spectroscopy and L1-PLS regression H Jiang, C Mei, K Li, Y Huang, Q Chen Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 204, 73-80, 2018 | 33 | 2018 |
Dynamic soft sensor development based on Gaussian mixture regression for fermentation processes C Mei, Y Su, G Liu, Y Ding, Z Liao Chinese Journal of Chemical Engineering 25 (1), 116-122, 2017 | 31 | 2017 |
An NT-MT combined method for gross error detection and data reconciliation MEI Congli, SU Hongye, CHU Jian Chinese Journal of Chemical Engineering 14 (5), 592-596, 2006 | 29 | 2006 |
Qualitative and quantitative analysis in solid-state fermentation of protein feed by FT-NIR spectroscopy integrated with multivariate data analysis H Jiang, G Liu, C Mei, Q Chen Analytical Methods 5 (7), 1872-1880, 2013 | 28 | 2013 |
基于 SVM 的微生物发酵过程软测量建模研究 刘国海, 周大为, 徐海霞, 梅从立 仪器仪表学报, 1228-1232, 2009 | 27 | 2009 |
Classification of Chinese soybean paste by fourier transform near-infrared (FT-NIR) spectroscopy and different supervised pattern recognition H Jiang, G Liu, X Xiao, S Yu, C Mei, Y Ding Food Analytical Methods 5, 928-934, 2012 | 25 | 2012 |
基于改进核模糊聚类算法的软测量建模研究 徐海霞, 刘国海, 周大为, 梅从立 仪器仪表学报, 2226-2231, 2009 | 23 | 2009 |
Rapid diagnosis of normal and abnormal conditions in solid-state fermentation of bioethanol using Fourier transform near-infrared spectroscopy H Jiang, W Wang, C Mei, Y Huang, Q Chen Energy & Fuels 31 (11), 12959-12964, 2017 | 21 | 2017 |
Recent advances in electronic nose techniques for monitoring of fermentation process H Jiang, H Zhang, Q Chen, C Mei, G Liu World Journal of Microbiology and Biotechnology 31, 1845-1852, 2015 | 20 | 2015 |
Quantitative analysis of yeast growth process based on FT-NIR spectroscopy integrated with Gaussian mixture regression W Wang, H Jiang, G Liu, Q Chen, C Mei, K Li, Y Huang RSC advances 7 (40), 24988-24994, 2017 | 19 | 2017 |