 | 2009 |
| 19 |  | Sharareh R. Niakan Kalhori,
Xiao-Jun Zeng:
Predicting the Outcome of Tuberculosis Treatment Course in Frame of Dots - From Demographic Data to Logistic Regression Model.
HEALTHINF 2009: 129-134 |
| 18 |  | Gang Leng,
Xiao-Jun Zeng,
John A. Keane:
A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems.
Appl. Soft Comput. 9(4): 1354-1366 (2009) |
| 17 |  | Tiejun Zhang,
Gang Feng,
Xiao-Jun Zeng:
Output tracking of constrained nonlinear processes with offset-free input-to-state stable fuzzy predictive control.
Automatica 45(4): 900-909 (2009) |
| 16 |  | Shin-Jye Lee,
Xiao-Jun Zeng,
Hui-Shin Wang:
Generating Automatic Fuzzy System from Relational Database System for Estimating Null Values.
Cybernetics and Systems 40(6): 528-548 (2009) |
| 15 |  | Di Wang,
Xiao-Jun Zeng,
John A. Keane:
Intermediate Variable Normalization for Gradient Descent Learning for Hierarchical Fuzzy System.
IEEE T. Fuzzy Systems 17(2): 468-476 (2009) |
| 14 |  | Syed Shabbir Haider,
Xiao-Jun Zeng:
Simplified neural networks algorithm for function approximation on discrete input spaces in high dimension-limited sample applications.
Neurocomputing 72(4-6): 1078-1083 (2009) |
| 2008 |
| 13 |  | Xiao-Jun Zeng,
John Yannis Goulermas,
Panos Liatsis,
Di Wang,
John A. Keane:
Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application.
IEEE T. Fuzzy Systems 16(5): 1197-1215 (2008) |
| 12 |  | John Yannis Goulermas,
A. H. Findlow,
C. J. Nester,
Panos Liatsis,
Xiao-Jun Zeng,
Laurence P. J. Kenney,
Philip A. Tresadern,
Sibylle B. Thies,
David Howard:
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors.
IEEE Transactions on Neural Networks 19(9): 1574-1582 (2008) |
| 11 |  | Panos Liatsis,
M. A. Nazarboland,
John Yannis Goulermas,
Xiao-Jun Zeng,
E. Milonidis:
Automating the processing of cDNA microarray images.
IJISTA 5(1/2): 115-144 (2008) |
| 10 |  | John Yannis Goulermas,
Panos Liatsis,
Xiao-Jun Zeng:
Kernel regression networks with local structural information and covariance volume adaptation.
Neurocomputing 72(1-3): 257-261 (2008) |
| 2007 |
| 9 |  | Di Wang,
Xiao-Jun Zeng,
John A. Keane:
An Input-Output Clustering Method for Fuzzy System Identification.
FUZZ-IEEE 2007: 1-6 |
| 8 |  | David Tian,
John A. Keane,
Xiao-Jun Zeng:
Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation.
FUZZ-IEEE 2007: 1-6 |
| 7 |  | Huina Mao,
Xiao-Jun Zeng,
Gang Leng,
Yongjie Zhai,
John A. Keane:
Short-Term Load Forecasting Based On Self-Organizing Fuzzy Neural Networks.
FUZZ-IEEE 2007: 1-6 |
| 6 |  | John Yannis Goulermas,
Panos Liatsis,
Xiao-Jun Zeng,
Phil Cook:
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.
IEEE Transactions on Neural Networks 18(6): 1683-1696 (2007) |
| 5 |  | John Yannis Goulermas,
Xiao-Jun Zeng,
Panos Liatsis,
J. F. Ralph:
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(6): 1434-1445 (2007) |
| 4 |  | Di Wang,
Xiao-Jun Zeng,
John A. Keane:
Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables.
Neurocomputing 70(16-18): 3019-3033 (2007) |
| 2006 |
| 3 |  | Xiao-Jun Zeng,
John A. Keane:
Approximation capabilities of hierarchical hybrid systems.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 36(5): 1029-1039 (2006) |
| 2005 |
| 2 |  | Xiao-Jun Zeng,
John A. Keane:
Approximation Capabilities of Hierarchical Fuzzy Systems.
IEEE T. Fuzzy Systems 13(5): 659-672 (2005) |
| 2003 |
| 1 |  | Xiao-Jun Zeng,
M. G. Singh:
Knowledge bounded least squares method for the identification of fuzzy systems.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 33(1): 24-32 (2003) |