Feedback convolutional network for intelligent data fusion based on near-infrared collaborative IoT technology K Cai, H Chen, W Ai, X Miao, Q Lin, Q Feng IEEE Transactions on Industrial Informatics 18 (2), 1200-1209, 2021 | 73 | 2021 |
Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy H Chen, L Xu, W Ai, B Lin, Q Feng, K Cai Science of the Total Environment 714, 136765, 2020 | 47 | 2020 |
FT-NIR spectroscopy and Whittaker smoother applied to joint analysis of duel-components for corn H Chen, W Ai, Q Feng, Z Jia, Q Song Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 118, 752-759, 2014 | 39 | 2014 |
A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights W Ai, W Chen, J Xie Information Sciences 373, 404-418, 2016 | 30 | 2016 |
Quantitative analysis of soil nutrition based on FT-NIR spectroscopy integrated with BP neural deep learning H Chen, Z Liu, J Gu, W Ai, J Wen, K Cai Analytical Methods 10 (41), 5004-5013, 2018 | 27 | 2018 |
Distributed stochastic configuration networks with cooperative learning paradigm W Ai, D Wang Information Sciences 540, 1-16, 2020 | 20 | 2020 |
Combination of modified optical path length estimation and correction and moving window partial least squares to waveband selection for the fourier transform near-infrared … H Chen, G Tang, Q Song, W Ai Analytical Letters 46 (13), 2060-2074, 2013 | 18 | 2013 |
Distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme W Ai, W Chen, J Xie Neurocomputing 224, 184-194, 2017 | 15 | 2017 |
FT-MIR modelling enhancement for the quantitative determination of haemoglobin in human blood by combined optimization of grid-search LSSVR algorithm with different pre … HZ Chen, W Ai, QX Feng, GQ Tang Analytical Methods 7 (6), 2869-2876, 2015 | 15 | 2015 |
Use of random forest in FTIR analysis of LDL cholesterol and tri‐glycerides for hyperlipidemia HZ Chen, GQ Tang, W Ai, LL Xu, K Cai Biotechnology Progress 31 (6), 1693-1702, 2015 | 14 | 2015 |
A general framework for population-based distributed optimization over networks W Ai, W Chen, J Xie Information Sciences 418, 136-152, 2017 | 11 | 2017 |
Improvement of NIR prediction ability by dual model optimization in fusion of NSIA and SA methods C Li, H Chen, Y Zhang, S Hong, W Ai, L Mo Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 276, 121247, 2022 | 10 | 2022 |
Decentralized federated learning for industrial IoT with deep echo state networks W Qiu, W Ai, H Chen, Q Feng, G Tang IEEE Transactions on Industrial Informatics 19 (4), 5849-5857, 2022 | 10 | 2022 |
A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network J Xie, W Chen, H Dai, S Liu, W Ai Neurocomputing 323, 244-255, 2019 | 10 | 2019 |
Distributed cooperative learning for a group of uncertain systems via output feedback and neural networks W Ai, W Chen, S Hua Journal of the Franklin Institute 355 (5), 2536-2561, 2018 | 10 | 2018 |
Random attractor for stochastic lattice dynamical systems with α-stable Lévy noises A Gu, W Ai Communications in Nonlinear Science and Numerical Simulation 19 (5), 1433-1441, 2014 | 8 | 2014 |
A decision tree network with semi-supervised entropy learning strategy for spectroscopy aided detection of blood hemoglobin H Chen, X Li, F Meng, W Ai, Q Lin, K Cai Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 291, 122354, 2023 | 5 | 2023 |
A fixed-time distributed algorithm for least square solutions of linear equations S Li, W Ai, J Wu, Q Feng International Journal of Control, Automation and Systems 19 (3), 1311-1318, 2021 | 3 | 2021 |
Differential evolution with the mutation strategy transformation based on a quartile for numerical optimization P Jin, J Cen, Q Feng, W Ai, H Chen, H Qiao Applied Intelligence 54 (1), 334-356, 2024 | 1 | 2024 |
Distributed sparse learning for stochastic configuration networks via alternating direction method of multipliers Y Zhou, W Ai, G Tang, H Chen Applied Intelligence 53, 23522–23537., 2023 | 1 | 2023 |