 | 2012 |
| 40 |  | Zhixiang Chen,
Feilong Cao,
Jinjie Hu:
Error estimates of quasi-interpolation and its derivatives.
J. Computational Applied Mathematics 236(13): 3137-3146 (2012) |
| 39 |  | Yubo Yuan,
Hou-Ying Zhu,
Bo Liu,
Feilong Cao:
Software reliability modeling with removed errors and compounded-decreased-rate.
Mathematical and Computer Modelling 55(3-4): 697-709 (2012) |
| 38 |  | Feilong Cao,
Dan Wu,
Joonwhoan Lee:
Learning Rates for Regularized Classifiers Using Trigonometric Polynomial Kernels.
Neural Processing Letters 35(3): 265-281 (2012) |
| 37 |  | Feilong Cao,
Xing Xing,
Jianwei Zhao:
Learning rates of support vector machine classifier for density level detection.
Neurocomputing 82: 84-90 (2012) |
| 36 |  | Zongben Xu,
Yongquan Zhang,
Feilong Cao:
Estimation of convergence rate for multi-regression learning algorithm.
SCIENCE CHINA Information Sciences 55(3): 701-713 (2012) |
| 2011 |
| 35 |  | Tingfan Xie,
Feilong Cao:
The errors of simultaneous approximation of multivariate functions by neural networks.
Computers & Mathematics with Applications 61(10): 3146-3152 (2011) |
| 34 |  | Yongquan Zhang,
Feilong Cao,
Zongben Xu:
Optimal rate of the regularized regression learning algorithm.
Int. J. Comput. Math. 88(7): 1471-1483 (2011) |
| 33 |  | Shaobo Lin,
Feilong Cao,
Zongben Xu:
Essential rate for approximation by spherical neural networks.
Neural Networks 24(7): 752-758 (2011) |
| 32 |  | Yubo Yuan,
Yuguang Wang,
Feilong Cao:
Optimization approximation solution for regression problem based on extreme learning machine.
Neurocomputing 74(16): 2475-2482 (2011) |
| 31 |  | Yuguang Wang,
Feilong Cao,
Yubo Yuan:
A study on effectiveness of extreme learning machine.
Neurocomputing 74(16): 2483-2490 (2011) |
| 30 |  | Yongquan Zhang,
Feilong Cao,
Zongben Xu:
Estimation of learning rate of least square algorithm via Jackson operator.
Neurocomputing 74(4): 516-521 (2011) |
| 2010 |
| 29 |  | Qingxiang Fang,
Feilong Cao:
Adaptive control of singular nonlinear systems with convex/concave parametrization.
ICARCV 2010: 1680-1683 |
| 28 |  | Chunmei Ding,
Yubo Yuan,
Feilong Cao:
Approximation by approximate interpolation neural networks with single hidden layer.
ICMLC 2010: 1431-1436 |
| 27 |  | Chunmei Ding,
Yubo Yuan,
Feilong Cao:
Approximate interpolation by a class of neural networks in Lebesgue metric.
ICMLC 2010: 3134-3139 |
| 26 |  | Yubo Yuan,
Feilong Cao:
Canonical duality solution to support vector machine.
ICMLC 2010: 3140-3145 |
| 25 |  | Dongmei Pu,
Yubo Yuan,
Feilong Cao:
Estimate human gene family number by improved k-means clustering.
ICMLC 2010: 3146-3149 |
| 24 |  | Yubo Yuan,
Dongmei Pu,
Feilong Cao:
Sixth order polynomial smoothing approximation solution to support vector machine.
ICMLC 2010: 3154-3157 |
| 23 |  | Feilong Cao,
Tingfan Xie:
The construction and approximation for feedforword neural networks with fixed weights.
ICMLC 2010: 3164-3168 |
| 22 |  | Jianwei Zhao,
Feilong Cao:
Neural networks for interpolation of functionals on a Hilbert space.
ICNC 2010: 1122-1125 |
| 21 |  | Feilong Cao,
Yubo Yuan,
Chunmei Ding:
Exact and approximate interpolation for neural networks with single hidden layer.
ICNC 2010: 273-277 |
| 20 |  | Yubo Yuan,
Feilong Cao:
A new solution method to support vector machine based on arc smoothing function.
ICNC 2010: 828-831 |
| 19 |  | Zhixiang Chen,
Feilong Cao:
Global errors for approximate approximations with Gaussian kernels on compact intervals.
Applied Mathematics and Computation 217(2): 725-734 (2010) |
| 18 |  | Feilong Cao,
Shaobo Lin,
Zongben Xu:
Constructive approximate interpolation by neural networks in the metric space.
Mathematical and Computer Modelling 52(9-10): 1674-1681 (2010) |
| 17 |  | Tingfan Xie,
Feilong Cao:
The errors in simultaneous approximation by feed-forward neural networks.
Neurocomputing 73(4-6): 903-907 (2010) |
| 16 |  | Feilong Cao,
Shaobo Lin,
Zongben Xu:
Approximation capability of interpolation neural networks.
Neurocomputing 74(1-3): 457-460 (2010) |
| 2009 |
| 15 |  | Feilong Cao,
Yubo Yuan:
Convergence rates for a class of neural networks with logarithmic function.
GrC 2009: 27-32 |
| 14 |  | Chen Pan,
Huijuan Lu,
Feilong Cao:
Segmentation of Blood and Bone Marrow Cell Images via Learning by Sampling.
ICIC (1) 2009: 336-345 |
| 13 |  | Chen Pan,
Feilong Cao:
Marrow Cell Segmentation by Simulating Visual System.
ICNC (1) 2009: 189-194 |
| 12 |  | Chen Pan,
Feilong Cao:
Face Image Recognition Combining Holistic and Local Features.
ISNN (3) 2009: 407-415 |
| 11 |  | Zhixiang Chen,
Feilong Cao:
The approximation operators with sigmoidal functions.
Computers & Mathematics with Applications 58(4): 758-765 (2009) |
| 10 |  | Feilong Cao,
Rui Zhang:
The errors of approximation for feedforward neural networks in the Lp metric.
Mathematical and Computer Modelling 49(7-8): 1563-1572 (2009) |
| 9 |  | Feilong Cao,
Yongquan Zhang,
Zongben Xu:
Lower estimation of approximation rate for neural networks.
Science in China Series F: Information Sciences 52(8): 1321-1327 (2009) |
| 2008 |
| 8 |  | Youmei Li,
Zongben Xu,
Feilong Cao:
An Improvement to Ant Colony Optimization Heuristic.
ISNN (1) 2008: 816-825 |
| 7 |  | Chunmei Ding,
Feilong Cao:
K-functionals and multivariate Bernstein polynomials.
Journal of Approximation Theory 155(2): 125-135 (2008) |
| 6 |  | Feilong Cao,
Tingfan Xie,
Zongben Xu:
The estimate for approximation error of neural networks: A constructive approach.
Neurocomputing 71(4-6): 626-630 (2008) |
| 2006 |
| 5 |  | Chunmei Ding,
Feilong Cao,
Zongben Xu:
The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units.
ISNN (1) 2006: 72-79 |
| 2005 |
| 4 |  | Feilong Cao,
Zongben Xu,
Youmei Li:
Pointwise Approximation for Neural Networks.
ISNN (1) 2005: 39-44 |
| 3 |  | Youmei Li,
Zongben Xu,
Feilong Cao:
Generalization and Property Analysis of GENET.
ISNN (1) 2005: 63-68 |
| 2 |  | Feilong Cao:
Derivatives of multidimensional Bernstein operators and smoothness.
Journal of Approximation Theory 132(2): 241-257 (2005) |
| 2004 |
| 1 |  | Zongben Xu,
Feilong Cao:
The essential order of approximation for neural networks.
Science in China Series F: Information Sciences 47(1): 97-112 (2004) |