 | 2009 |
|---|
| 19 |       | Gexiang Zhang,
Jixiang Cheng:
A Differential Evolution Based Time-Frequency Atom Decomposition for Analyzing Emitter signals.
MDAI 2009: 161-171 |
| 2008 |
|---|
| 18 | | Gexiang Zhang,
Marian Gheorghe,
Chao-Zhong Wu:
A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem.
Fundam. Inform. 87(1): 93-116 (2008) |
| 2007 |
|---|
| 17 | | Gexiang Zhang,
Haina Rong:
Quantum-Inspired Genetic Algorithm Based Time-Frequency Atom Decomposition.
International Conference on Computational Science (4) 2007: 243-250 |
| 16 | | Gexiang Zhang,
Haina Rong:
Real-Observation Quantum-Inspired Evolutionary Algorithm for a Class of Numerical Optimization Problems.
International Conference on Computational Science (4) 2007: 989-996 |
| 15 | | Gexiang Zhang,
Haina Rong:
Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals.
RSKT 2007: 484-491 |
| 14 | | Gexiang Zhang,
Haina Rong:
Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation.
RSKT 2007: 492-499 |
| 2006 |
|---|
| 13 | | Gexiang Zhang,
Haina Rong,
Weidong Jin:
Intra-pulse Modulation Recognition of Unknown Radar Emitter Signals Using Support Vector Clustering.
FSKD 2006: 420-429 |
| 12 | | Gexiang Zhang:
Intra-pulse Modulation Recognition of Advanced Radar Emitter Signals Using Intelligent Recognition Method.
RSKT 2006: 707-712 |
| 2005 |
|---|
| 11 | | Gexiang Zhang:
Support Vector Machines with Huffman Tree Architecture for Multiclass Classification.
CIARP 2005: 24-33 |
| 10 | | Gexiang Zhang,
Zhexin Cao,
Yajun Gu:
A Hybrid Classifier Based on Rough Set Theory and Support Vector Machines.
FSKD (1) 2005: 1287-1296 |
| 9 | | Gexiang Zhang,
Zhexin Cao,
Yajun Gu,
Weidong Jin,
Laizhao Hu:
Radar Emitter Signal Recognition Based on Feature Selection and Support Vector Machines.
ICIC (1) 2005: 707-716 |
| 2004 |
|---|
| 8 | | Gexiang Zhang,
Laizhao Hu,
Weidong Jin:
Radar Emitter Signal Recognition Based on Feature Selection Algorithm.
Australian Conference on Artificial Intelligence 2004: 1108-1114 |
| 7 | | Gexiang Zhang,
Laizhao Hu,
Weidong Jin:
Discretization of Continuous Attributes in Rough Set Theory and Its Application.
CIS 2004: 1020-1026 |
| 6 | | Gexiang Zhang,
Weidong Jin,
Laizhao Hu:
A Novel Feature Selection Approach and Its Application.
CIS 2004: 665-671 |
| 5 | | Gexiang Zhang,
Laizhao Hu,
Weidong Jin:
Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection.
Discovery Science 2004: 155-168 |
| 4 | | Gexiang Zhang,
Weidong Jin,
Laizhao Hu:
Radar emitter signal recognition based on support vector machines.
ICARCV 2004: 826-831 |
| 3 | | Gexiang Zhang,
Laizhao Hu,
Weidong Jin:
Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition.
MDAI 2004: 92-103 |
| 2 | | Gexiang Zhang,
Haina Rong,
Weidong Jin,
Laizhao Hu:
Radar Emitter Signal Recognition Based on Resemblance Coefficient Features.
Rough Sets and Current Trends in Computing 2004: 665-670 |
| 2003 |
|---|
| 1 | | Gexiang Zhang,
Weidong Jin,
Na Li:
An Improved Quantum Genetic Algorithm and Its Application.
RSFDGrC 2003: 449-452 |
