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2020 – today
- 2024
- [j99]Lihong Deng
, Fei Deng, Kepeng Zhou, Peifan Jiang
Multi-level attention network: Mixed time-frequency channel attention and multi-scale self-attentive standard deviation pooling for speaker recognition. Eng. Appl. Artif. Intell. 128: 107439 (2024) - [j98]Xingyang Liu, Haina Rong, Ferrante Neri, Peng Yue, Gexiang Zhang:
Deep deterministic policy gradient with constraints for gait optimisation of biped robots. Integr. Comput. Aided Eng. 31(2): 139-156 (2024) - [j97]Marian Gheorghe, Alberto Leporati, Ferrante Neri
Introduction. Int. J. Neural Syst. 34(6): 2402002:1-2402002:2 (2024) - [j96]Xingyang Liu
Entropy-Weighted Numerical Gradient Optimization Spiking Neural System for Biped Robot Control. Int. J. Neural Syst. 34(6): 2450030:1-2450030:19 (2024) - [j95]Jianping Dong
An Optimization Numerical Spiking Neural Membrane System with Adaptive Multi-Mutation Operators for Brain Tumor Segmentation. Int. J. Neural Syst. 34(8): 2450036:1-2450036:20 (2024) - [j94]Jin Zhou
A data-driven optimisation method for a class of problems with redundant variables and indefinite objective functions. Inf. Sci. 656: 119899 (2024) - [j93]Williams Sureshkumar, Prithwineel Paul, Gexiang Zhang:
On languages generated by isotonic array P systems with/without priority rules. J. Membr. Comput. 6(1): 1-15 (2024) - [j92]Yujiao Wu, Jianping Dong, Zulin Fang, Gexiang Zhang, Haina Rong:
Speaker recognition with global information modelling of raw waveforms. J. Membr. Comput. 6(1): 42-51 (2024) - [j91]Jianping Dong, Gexiang Zhang
A learning numerical spiking neural P system for classification problems. Knowl. Based Syst. 296: 111914 (2024) - [j90]Jun Liu
Universal enzymatic numerical P systems with small number of enzymatic rules. Theor. Comput. Sci. 1004: 114630 (2024) - 2023
- [j89]Xingyang Liu, Gexiang Zhang, Muhammad Shahid Mastoi
A human-simulated fuzzy membrane approach for the joint controller of walking biped robots. Integr. Comput. Aided Eng. 30(2): 105-120 (2023) - [j88]Jianping Dong, Gexiang Zhang, Biao Luo, Haina Rong:
An optimization numerical spiking neural P system for solving constrained optimization problems. Inf. Sci. 626: 428-456 (2023) - [j87]Yangheng Hu, Jianping Dong, Gexiang Zhang, Yijin Wu, Haina Rong, Ming Zhu:
Cancer gene selection with adaptive optimization spiking neural P systems and hybrid classifiers. J. Membr. Comput. 5(4): 238-251 (2023) - [j86]György Vaszil, Claudio Zandron, Gexiang Zhang:
Preface. Nat. Comput. 22(1): 1-2 (2023) - [j85]Jianping Dong, Biao Luo, Gexiang Zhang
Automatic design of arithmetic operation spiking neural P systems. Nat. Comput. 22(1): 55-67 (2023) - [j84]Yingying Duan, Haina Rong
Estimation of minimum viable population for giant panda ecosystems with membrane computing models. Nat. Comput. 22(1): 69-93 (2023) - [j83]Dequan Guo
Face illumination normalization based on generative adversarial network. Nat. Comput. 22(1): 105-117 (2023) - [j82]Haina Rong
Bio-inspired modelling as a practical tool to manage giant panda population dynamics in captivity. Nat. Comput. 22(1): 133-147 (2023) - [j81]Sergey Verlan
A tutorial on the formal framework for spiking neural P systems. Nat. Comput. 22(1): 181-194 (2023) - [j80]Jin Zhou
Deep learning networks with rough-refinement optimization for food quality assessment. Nat. Comput. 22(1): 195-223 (2023) - [j79]Fei Deng, Lihong Deng
ResSKNet-SSDP: Effective and Light End-To-End Architecture for Speaker Recognition. Sensors 23(3): 1203 (2023) - [j78]Qiang Yang, Song Ma, Gexiang Zhang
A New Assistance Navigation Method for Substation Inspection Robots to Safely Cross Grass Areas. Sensors 23(22): 9201 (2023) - 2022
- [j77]Xiu Yin, Xiyu Liu
Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis. Entropy 24(10): 1385 (2022) - [j76]Gexiang Zhang, Xihai Zhang
A Layered Spiking Neural System for Classification Problems. Int. J. Neural Syst. 32(8): 2250023:1-2250023:15 (2022) - [j75]Luping Zhang, Fei Xu, Dongyang Xiao, Jianping Dong, Gexiang Zhang, Ferrante Neri
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers. Int. J. Neural Syst. 32(11): 2250055:1-2250055:17 (2022) - [j74]Jianping Dong, Gexiang Zhang, Biao Luo, Qiang Yang, Dequan Guo, Haina Rong, Ming Zhu, Kang Zhou:
A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems. Inf. Sci. 596: 1-14 (2022) - [j73]Xingqiao Deng, Jianping Dong, Shisong Wang
Reducer lubrication optimization with an optimization spiking neural P system. Inf. Sci. 604: 28-44 (2022) - [j72]Prithwineel Paul, Gexiang Zhang
On homomorphic images of the Szilard languages of matrix insertion-deletion systems with matrices of size 2. J. Membr. Comput. 4(1): 68-86 (2022) - [j71]Haina Rong, Yingying Duan, Gexiang Zhang
A bibliometric analysis of membrane computing (1998-2019). J. Membr. Comput. 4(2): 177-207 (2022) - [j70]Jianping Dong, Gexiang Zhang
Multi-learning rate optimization spiking neural P systems for solving the discrete optimization problems. J. Membr. Comput. 4(3): 209-221 (2022) - [j69]Jianping Dong, Gexiang Zhang
Migration strategy in distributed adaptive optimization spiking neural P systems. J. Membr. Comput. 4(4): 314-328 (2022) - [j68]Mihail-Iulian Plesa, Marian Gheorghe, Florentin Ipate, Gexiang Zhang:
A key agreement protocol based on spiking neural P systems with anti-spikes. J. Membr. Comput. 4(4): 341-351 (2022) - [j67]Dequan Guo, Gexiang Zhang, Ferrante Neri
An adaptive kernelized correlation filters with multiple features in the tracking application. J. Vis. Commun. Image Represent. 84: 103484 (2022) - 2021
- [b1]Gexiang Zhang
Membrane Computing Models: Implementations. Springer 2021, ISBN 978-981-16-1565-8, pp. 1-279 - [j66]Gexiang Zhang
An Overview of Hardware Implementation of Membrane Computing Models. ACM Comput. Surv. 53(4): 90:1-90:38 (2021) - [j65]Xueyuan Wang, Gexiang Zhang, Xiantai Gou, Prithwineel Paul, Ferrante Neri
Multi-behaviors coordination controller design with enzymatic numerical P systems for robots. Integr. Comput. Aided Eng. 28(2): 119-140 (2021) - [j64]Ming Zhu, Qiang Yang, Jianping Dong, Gexiang Zhang, Xiantai Gou, Haina Rong, Prithwineel Paul, Ferrante Neri
An Adaptive Optimization Spiking Neural P System for Binary Problems. Int. J. Neural Syst. 31(1): 2050054:1-2050054:17 (2021) - [j63]Gexiang Zhang, Haina Rong, Prithwineel Paul, Yangyang He, Ferrante Neri
A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion. Int. J. Neural Syst. 31(1): 2050055:1-2050055:17 (2021) - [j62]Marian Gheorghe
Introduction. Int. J. Neural Syst. 31(1): 2103001:1-2103001:2 (2021) - [j61]Gexiang Zhang, Linqiang Pan, Xiangrong Liu:
Editorial: Membrane Computing. A Special Issue Dedicated to Gheorghe Păun on his 70th Birthday. Int. J. Unconv. Comput. 16(2-3): 79-81 (2021) - [j60]Yunhui Chen, Ying Chen, Gexiang Zhang, Prithwineel Paul, Tianbao Wu, Xihai Zhang, Haina Rong, Xiaomin Ma:
A Survey of Learning Spiking Neural P Systems and A Novel Instance. Int. J. Unconv. Comput. 16(2-3): 173-200 (2021) - [j59]Jianping Dong, Michael Stachowicz, Gexiang Zhang, Matteo Cavaliere, Haina Rong, Prithwineel Paul:
Automatic Design of Spiking Neural P Systems Based on Genetic Algorithms. Int. J. Unconv. Comput. 16(2-3): 201-216 (2021) - [j58]Xihai Zhang, Gexiang Zhang, Pirthwineel Paul, Jinquan Zhang, Tianbao Wu, Songhai Fan, Xingzhong Xiong:
Dissolved Gas Analysis for Transformer Fault Based on Learning Spiking Neural P System with Belief AdaBoost. Int. J. Unconv. Comput. 16(2-3): 239-258 (2021) - [j57]Songhai Fan, Yiyu Gong, Gexiang Zhang, Yun Xiao, Haina Rong, Prithwineel Paul, Xiaomin Ma, Han Huang, Marian Gheorghe:
Implementation of Kernel P Systems in CUDA for Solving NP-hard Problems. Int. J. Unconv. Comput. 16(2-3): 259-278 (2021) - [j56]Zeyi Shang, Sergey Verlan, Gexiang Zhang, Haina Rong:
FPGA Implementation of Numerical P Systems. Int. J. Unconv. Comput. 16(2-3): 279-302 (2021) - [j55]Rodica Ceterchi, David Orellana-Martín
Division rules for tissue P systems inspired by space filling curves. J. Membr. Comput. 3(2): 105-115 (2021) - [j54]Rodica Ceterchi
Hilbert words as arrays generated with P systems. J. Membr. Comput. 3(3): 163-169 (2021) - [j53]Dequan Guo, Gexiang Zhang, Hui Peng, Jianying Yuan, Prithwineel Paul, Kechang Fu, Ming Zhu:
Segmentation and Measurements of Carotid Intima-Media Thickness in Ultrasound Images Using the Improved Convolutional Neural Network and Support Vector Machine. J. Medical Imaging Health Informatics 11(1): 15-24 (2021) - [j52]Dequan Guo, Gexiang Zhang, Hui Peng, Jianying Yuan, Prithwineel Paul, Kechang Fu, Ming Zhu:
Segmentation and Measurements of Carotid Intima-Media Thickness in Ultrasound Images Using the Improved Convolutional Neural Network and Support Vector Machine. J. Medical Imaging Health Informatics 11(1): 15-24 (2021) - [j51]Gexiang Zhang
Membrane computing. Int. J. Parallel Emergent Distributed Syst. 36(1): 1-2 (2021) - 2020
- [j50]Yingying Duan, Haina Rong
A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System. Complex. 2020: 1312824:1-1312824:26 (2020) - [j49]Ignacio Pérez-Hurtado
A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning. Integr. Comput. Aided Eng. 27(2): 121-138 (2020) - [j48]Gexiang Zhang, Linqiang Pan, Gheorghe Paun:
Editorial: Membrane Computing. Int. J. Unconv. Comput. 15(1-2): 1-3 (2020) - [j47]Yingying Duan, Kang Zhou, Gexiang Zhang, Prithwineel Paul, Haina Rong, Juanjuan He:
A Membrane-Inspired Algorithm with Exchange-Tree Mechanism for Traffic Network Transportation Optimization Problem. Int. J. Unconv. Comput. 15(1-2): 5-36 (2020) - [j46]Huifang Wang, Kang Zhou, Gexiang Zhang, Prithwineel Paul, Yingying Duan, Huaqing Qi, Haina Rong:
Application of Weighted Spiking Neural P Systems with Rules on Synapses for Breaking RSA Encryption. Int. J. Unconv. Comput. 15(1-2): 37-58 (2020) - [j45]Dequan Guo, Gexiang Zhang, Yi Zhou, Jianying Yuan, Prithwineel Paul, Kechang Fu, Ming Zhu:
Image Thresholding Using a Membrane Algorithm Based on Enhanced Particle Swarm Optimization with Hyperparameter. Int. J. Unconv. Comput. 15(1-2): 83-106 (2020) - [c42]Jianping Dong, Haina Rong, Ferrante Neri
An Adaptive Memetic P System to Solve the 0/1 Knapsack Problem. CEC 2020: 1-8
2010 – 2019
- 2019
- [j44]Chen Li
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework. IEEE Access 7: 97216-97241 (2019) - [j43]Haina Rong, Kang Yi, Gexiang Zhang
Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems. Complex. 2019: 2635714:1-2635714:16 (2019) - [j42]Linqiang Pan, Mario J. Pérez-Jiménez, Gexiang Zhang
Preface. Fundam. Informaticae 164(2-3): i-ii (2019) - [j41]Sidong Wu, Gexiang Zhang
A multi-aperture optical flow estimation method for an artificial compound eye. Integr. Comput. Aided Eng. 26(2): 139-157 (2019) - [j40]Sheng Cao, Gexiang Zhang
Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain. Inf. Sci. 485: 427-440 (2019) - [j39]Linqiang Pan, Gheorghe Paun, Gexiang Zhang:
Foreword: Starting JMC. J. Membr. Comput. 1(1): 1-2 (2019) - [j38]Ignacio Pérez-Hurtado
P-Lingua in two steps: flexibility and efficiency. J. Membr. Comput. 1(2): 93-102 (2019) - 2018
- [j37]Sidong Wu, Gexiang Zhang
Geometry based three-dimensional image processing method for electronic cluster eye. Integr. Comput. Aided Eng. 25(3): 213-228 (2018) - [j36]Naeimeh Elkhani, Ravie Chandren Muniyandi, Gexiang Zhang:
Multi-Objective Binary PSO with Kernel P System on GPU. Int. J. Comput. Commun. Control 13(3): 323-336 (2018) - [j35]Haina Rong, Mianjun Ge, Gexiang Zhang, Ming Zhu:
An Approach for Detecting Fault Lines in a Small Current Grounding System using Fuzzy Reasoning Spiking Neural P Systems. Int. J. Comput. Commun. Control 13(4): 521-536 (2018) - [j34]Huifang Wang, Kang Zhou, Gexiang Zhang:
Arithmetic Operations with Spiking Neural P Systems with Rules and Weights on Synapses. Int. J. Comput. Commun. Control 13(4): 574-589 (2018) - [j33]Ignacio Pérez-Hurtado
Simulation of Rapidly-Exploring Random Trees in Membrane Computing with P-Lingua and Automatic Programming. Int. J. Comput. Commun. Control 13(6): 1007-1031 (2018) - [j32]Junbo Zhao
Robust Forecasting Aided Power System State Estimation Considering State Correlations. IEEE Trans. Smart Grid 9(4): 2658-2666 (2018) - [c41]Haina Rong, Tingfang Wu, Linqiang Pan, Gexiang Zhang
Spiking Neural P Systems: Theoretical Results and Applications. Enjoying Natural Computing 2018: 256-268 - 2017
- [j31]Sidong Wu, Tao Jiang, Gexiang Zhang
Artificial compound eye: a survey of the state-of-the-art. Artif. Intell. Rev. 48(4): 573-603 (2017) - [j30]Linqiang Pan, Gheorghe Paun, Gexiang Zhang
Spiking Neural P Systems with Communication on Request. Int. J. Neural Syst. 27(8): 1750042:1-1750042:13 (2017) - [j29]Junbo Zhao
Enhanced Robustness of State Estimator to Bad Data Processing Through Multi-innovation Analysis. IEEE Trans. Ind. Informatics 13(4): 1610-1619 (2017) - [j28]Junbo Zhao
Short-Term State Forecasting-Aided Method for Detection of Smart Grid General False Data Injection Attacks. IEEE Trans. Smart Grid 8(4): 1580-1590 (2017) - [c40]Linqiang Pan, Bosheng Song, Gexiang Zhang
Tissue P Systems with Rule Production/Removal. Int. Conf. on Membrane Computing 2017: 230-244 - 2016
- [j27]Xueyuan Wang, Gexiang Zhang
Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots. Integr. Comput. Aided Eng. 23(1): 15-30 (2016) - [j26]Jixiang Cheng, Gary G. Yen
A grid-based adaptive multi-objective differential evolution algorithm. Inf. Sci. 367-368: 890-908 (2016) - [j25]Weitao Yuan, Gexiang Zhang
P systems based computing polynomials: design and formal verification. Nat. Comput. 15(4): 591-596 (2016) - [j24]Junbo Zhao
Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation. IEEE Trans. Smart Grid 7(1): 6-8 (2016) - [j23]Junbo Zhao
Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method. IEEE Trans. Smart Grid 7(1): 300-309 (2016) - [c39]Kang Huang, Gexiang Zhang
Fault Classification of Power Transmission Lines Using Fuzzy Reasoning Spiking Neural P Systems. BIC-TA (1) 2016: 109-117 - [e2]Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang:
Bio-inspired Computing - Theories and Applications - 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part I. Communications in Computer and Information Science 681, Springer 2016, ISBN 978-981-10-3610-1 [contents] - [e1]Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang:
Bio-inspired Computing - Theories and Applications - 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II. Communications in Computer and Information Science 682, Springer 2016, ISBN 978-981-10-3613-2 [contents] - 2015
- [j22]Jixiang Cheng, Gexiang Zhang
Multicriteria adaptive differential evolution for global numerical optimization. Integr. Comput. Aided Eng. 22(2): 103-107 (2015) - [j21]Gexiang Zhang
QEAM: An Approximate Algorithm Using P Systems with Active Membranes. Int. J. Comput. Commun. Control 10(2): 263-279 (2015) - [j20]Xueyuan Wang, Gexiang Zhang
A Modified Membrane-Inspired Algorithm Based on Particle Swarm Optimization for Mobile Robot Path Planning. Int. J. Comput. Commun. Control 10(5): 732-745 (2015) - [j19]Tao Wang, Gexiang Zhang, Mario J. Pérez-Jiménez:
Fuzzy Membrane Computing: Theory and Applications. Int. J. Comput. Commun. Control 10(6): 144-175 (2015) - [j18]Jixiang Cheng, Gary G. Yen
A Many-Objective Evolutionary Algorithm With Enhanced Mating and Environmental Selections. IEEE Trans. Evol. Comput. 19(4): 592-605 (2015) - 2014
- [j17]Gexiang Zhang
Dynamic Behavior Analysis of Membrane-Inspired Evolutionary Algorithms. Int. J. Comput. Commun. Control 9(2): 227-242 (2014) - [j16]Tao Wang, Gexiang Zhang
Application of Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis. Int. J. Comput. Commun. Control 9(6): 786-799 (2014) - [j15]Gexiang Zhang
An Optimization Spiking Neural P System for Approximately Solving Combinatorial Optimization Problems. Int. J. Neural Syst. 24(5) (2014) - [j14]Gexiang Zhang
Evolutionary membrane computing: A comprehensive survey and new results. Inf. Sci. 279: 528-551 (2014) - [c38]Jixiang Cheng, Gexiang Zhang, Yanhui Qin:
A Population-P-Systems-Inspired Membrane Algorithm for Multi-objective Optimization. BIC-TA 2014: 40-44 - [c37]Tao Wang, Gexiang Zhang
Fault Diagnosis Models for Electric Locomotive Systems Based on Fuzzy Reasoning Spiking Neural P Systems. Int. Conf. on Membrane Computing 2014: 385-395 - [c36]Jixiang Cheng, Gary G. Yen
A many-objective evolutionary algorithm based on directional diversity and favorable convergence. SMC 2014: 2415-2420 - 2013
- [j13]Gexiang Zhang
A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems. Appl. Soft Comput. 13(3): 1528-1542 (2013) - [j12]Zhu Ou, Gexiang Zhang, Tao Wang, Xiaoli Huang:
Automatic Design of Cell-like P Systems through Tuning Membrane Structures, Initial Objects and Evolution Rules. Int. J. Unconv. Comput. 9(5-6): 425-443 (2013) - [j11]Jixiang Cheng, Gexiang Zhang
Enhancing distributed differential evolution with multicultural migration for global numerical optimization. Inf. Sci. 247: 72-93 (2013) - [c35]Florentin Ipate, Raluca Lefticaru
Kernel P Systems: Applications and Implementations. BIC-TA 2013: 1081-1089 - [c34]Fabio Caraffini
Super-fit Multicriteria Adaptive Differential Evolution. IEEE Congress on Evolutionary Computation 2013: 1678-1685 - 2012
- [j10]Susan Elias, Vanaja Gokul, Kamala Krithivasan, Marian Gheorghe, Gexiang Zhang:
A Variant of Distributed P Systems for Real Time Cross Layer Optimization. J. Univers. Comput. Sci. 18(13): 1760-1781 (2012) - [j9]Gexiang Zhang, Fen Zhou, Xiaoli Huang, Jixiang Cheng, Marian Gheorghe, Florentin Ipate, Raluca Lefticaru:
A Novel Membrane Algorithm Based on Particle Swarm Optimization for Solving Broadcasting Problems. J. Univers. Comput. Sci. 18(13): 1821-1841 (2012) - [j8]Gexiang Zhang
A new recognition system for radar emitter signals. Kybernetes 41(9): 1351-1360 (2012) - [j7]Gexiang Zhang
A membrane algorithm with quantum-inspired subalgorithms and its application to image processing. Nat. Comput. 11(4): 701-717 (2012) - [j6]Jixiang Cheng, Gexiang Zhang
Multi-objective ant colony optimization based on decomposition for bi-objective traveling salesman problems. Soft Comput. 16(4): 597-614 (2012) - 2011
- [j5]Gexiang Zhang
Quantum-inspired evolutionary algorithms: a survey and empirical study. J. Heuristics 17(3): 303-351 (2011) - [j4]Jixiang Cheng, Gexiang Zhang, Xiangxiang Zeng:
A Novel Membrane Algorithm Based on Differential Evolution for Numerical Optimization. Int. J. Unconv. Comput. 7(3): 159-183 (2011) - [c33]Yuquan Li, Gexiang Zhang
A Modified Estimation of Distribution Algorithm for Numeric Optimization. BIC-TA 2011: 114-119 - [c32]Susan Elias, Vanaja Gokul, Kamala Krithivasan, Marian Gheorghe, Gexiang Zhang
Real time cross layer design using particle swarm optimization. Bangalore Compute Conf. 2011: 25 - [c31]Xiaoli Huang, Gexiang Zhang
Evolutionary Design of a Simple Membrane System. Int. Conf. on Membrane Computing 2011: 203-214 - 2010
- [j3]Gexiang Zhang
Time-Frequency Atom Decomposition with Quantum-Inspired Evolutionary Algorithms. Circuits Syst. Signal Process. 29(2): 209-233 (2010) - [j2]Gexiang Zhang
Analyzing radar emitter signals with membrane algorithms. Math. Comput. Model. 52(11-12): 1997-2010 (2010) - [c30]Hong Peng, Jun Wang, Gexiang Zhang
Timed spiking neural P systems. BIC-TA 2010: 591-595 - [c29]Gexiang Zhang
Diversity and convergence analysis of membrane algorithms. BIC-TA 2010: 596-603 - [c28]Gexiang Zhang
A multi-objective membrane algorithm for knapsack problems. BIC-TA 2010: 604-609 - [c27]Hua Zhang, Gexiang Zhang
Comparisons of quantum rotation gates in quantum-inspired evolutionary algorithms. ICNC 2010: 2306-2310 - [c26]Fen Zhou, Gexiang Zhang
A particle swarm optimization based on P systems. ICNC 2010: 3003-3007
2000 – 2009
- 2009
- [c25]Chunxiu Liu, Gexiang Zhang
A Memetic Algorithm Based on P Systems for IIR Digital Filter Design. DASC 2009: 330-334 - [c24]Gexiang Zhang
A Differential Evolution Based Time-Frequency Atom Decomposition for Analyzing Emitter signals. MDAI 2009: 161-171 - [c23]Raluca Lefticaru
Tuning P Systems for Solving the Broadcasting Problem. Workshop on Membrane Computing 2009: 354-370 - [c22]Chunxiu Liu, Gexiang Zhang
An Improved Membrane Algorithm for Solving Time-Frequency Atom Decomposition. Workshop on Membrane Computing 2009: 371-384 - 2008
- [j1]Gexiang Zhang, Marian Gheorghe, Chao-Zhong Wu:
A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem. Fundam. Informaticae 87(1): 93-116 (2008) - [c21]Hongwen Liu, Gexiang Zhang
A novel Memetic Algorithm based on real-observation Quantum-inspired evolutionary algorithms. ISKE 2008: 486-490 - 2007
- [c20]Gexiang Zhang, Haina Rong:
Quantum-Inspired Genetic Algorithm Based Time-Frequency Atom Decomposition. International Conference on Computational Science (4) 2007: 243-250 - [c19]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 - [c18]Gexiang Zhang, Haina Rong:
Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals. RSKT 2007: 484-491 - [c17]Gexiang Zhang, Haina Rong:
Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation. RSKT 2007: 492-499 - 2006
- [c16]Gexiang Zhang, Haina Rong, Weidong Jin:
Intra-pulse Modulation Recognition of Unknown Radar Emitter Signals Using Support Vector Clustering. FSKD 2006: 420-429 - [c15]Gexiang Zhang:
Intra-pulse Modulation Recognition of Advanced Radar Emitter Signals Using Intelligent Recognition Method. RSKT 2006: 707-712 - 2005
- [c14]Gexiang Zhang:
Support Vector Machines with Huffman Tree Architecture for Multiclass Classification. CIARP 2005: 24-33 - [c13]Gexiang Zhang, Zhexin Cao, Yajun Gu:
A Hybrid Classifier Based on Rough Set Theory and Support Vector Machines. FSKD (1) 2005: 1287-1296 - [c12]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 - [c11]Haina Rong, Gexiang Zhang
Application of support vector machines to nonlinear system identification. ISADS 2005: 501-507 - 2004
- [c10]Gexiang Zhang, Weidong Jin, Laizhao Hu:
Application of generalized adaptive wavelet neural network based on resemblance coefficient to signal recognition. ISIC 2004: 443-447 - [c9]Gexiang Zhang, Laizhao Hu, Weidong Jin:
Radar Emitter Signal Recognition Based on Feature Selection Algorithm. Australian Conference on Artificial Intelligence 2004: 1108-1114 - [c8]Gexiang Zhang, Weidong Jin, Laizhao Hu:
A Novel Feature Selection Approach and Its Application. CIS 2004: 665-671 - [c7]Gexiang Zhang, Laizhao Hu, Weidong Jin:
Discretization of Continuous Attributes in Rough Set Theory and Its Application. CIS 2004: 1020-1026 - [c6]Gexiang Zhang, Laizhao Hu, Weidong Jin:
Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection. Discovery Science 2004: 155-168 - [c5]Gexiang Zhang, Weidong Jin, Laizhao Hu:
Radar emitter signal recognition based on support vector machines. ICARCV 2004: 826-831 - [c4]Gexiang Zhang, Laizhao Hu, Weidong Jin:
Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition. MDAI 2004: 92-103 - [c3]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
- [c2]Gexiang Zhang, Weidong Jin, Laizhao Hu:
Quantum evolutionary algorithm for multi-objective optimization problems. ISIC 2003: 703-708 - [c1]Gexiang Zhang, Weidong Jin, Na Li:
An Improved Quantum Genetic Algorithm and Its Application. RSFDGrC 2003: 449-452
Coauthor Index
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last updated on 2024-10-30 21:34 CET by the dblp team
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