A study on effectiveness of extreme learning machine Y Wang, F Cao, Y Yuan
Neurocomputing 74 (16), 2483-2490, 2011
326 2011 The approximation operators with sigmoidal functions Z Chen, F Cao
Computers & Mathematics with Applications 58 (4), 758-765, 2009
270 2009 Automatic detection and classification of leukocytes using convolutional neural networks J Zhao, M Zhang, Z Zhou, J Chu, F Cao
Medical & biological engineering & computing 55, 1287-1301, 2017
217 2017 Image classification based on effective extreme learning machine F Cao, B Liu, DS Park
Neurocomputing 102, 90-97, 2013
96 2013 The estimate for approximation error of neural networks: a constructive approach F Cao, T Xie, Z Xu
Neurocomputing 71 (4-6), 626-630, 2008
96 2008 The essential order of approximation for neural networks Z Xu, F Cao
Science in China Series F: Information Sciences 47, 97-112, 2004
90 2004 Simultaneous Lp-approximation order for neural networks ZB Xu, FL Cao
Neural Networks 18 (7), 914-923, 2005
85 2005 A probabilistic learning algorithm for robust modeling using neural networks with random weights F Cao, H Ye, D Wang
Information Sciences 313, 62-78, 2015
72 2015 Image interpolation via low-rank matrix completion and recovery F Cao, M Cai, Y Tan
IEEE Transactions on Circuits and Systems for Video Technology 25 (8), 1261-1270, 2014
64 2014 Recovering low-rank and sparse matrix based on the truncated nuclear norm F Cao, J Chen, H Ye, J Zhao, Z Zhou
Neural Networks 85, 10-20, 2017
62 2017 The construction and approximation of a class of neural networks operators with ramp functions Z Chen, F Cao
Journal of Computational Analysis and Applications 14 (1), 101-112, 2012
60 2012 Segmentation of white blood cells image using adaptive location and iteration Y Liu, F Cao, J Zhao, J Chu
IEEE journal of biomedical and health informatics 21 (6), 1644-1655, 2016
56 2016 Image Super-Resolution via Adaptive Regularization and Sparse Representation F Cao, M Cai, Y Tan, J Zhao
IEEE transactions on neural networks and learning systems 27 (7), 1550-1561, 2016
54 2016 Optimization approximation solution for regression problem based on extreme learning machine Y Yuan, Y Wang, F Cao
Neurocomputing 74 (16), 2475-2482, 2011
54 2011 Extended feed forward neural networks with random weights for face recognition J Lu, J Zhao, F Cao
Neurocomputing 136, 96-102, 2014
50 2014 An iterative learning algorithm for feedforward neural networks with random weights F Cao, D Wang, H Zhu, Y Wang
Information Sciences 328, 546-557, 2016
46 2016 Sparse algorithms of random weight networks and applications F Cao, Y Tan, M Cai
Expert Systems with Applications 41 (5), 2457-2462, 2014
45 2014 Multiscale fused network with additive channel–spatial attention for image segmentation C Gao, H Ye, F Cao, C Wen, Q Zhang, F Zhang
Knowledge-Based Systems 214, 106754, 2021
44 2021 Approximation by network operators with logistic activation functions Z Chen, F Cao, J Hu
Applied Mathematics and Computation 256, 565-571, 2015
43 2015 Lightweight multi-scale residual networks with attention for image super-resolution H Liu, F Cao, C Wen, Q Zhang
Knowledge-Based Systems 203, 106103, 2020
42 2020