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Haina Rong
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2020 – today
- 2024
- [j35]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) - [j34]Xingyang Liu
, Haina Rong
Entropy-Weighted Numerical Gradient Optimization Spiking Neural System for Biped Robot Control. Int. J. Neural Syst. 34(6): 2450030:1-2450030:19 (2024) - [j33]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) - [j32]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) - [j31]Jianping Dong, Gexiang Zhang
A learning numerical spiking neural P system for classification problems. Knowl. Based Syst. 296: 111914 (2024) - 2023
- [j30]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) - [j29]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) - [j28]Yingying Duan, Haina Rong
Estimation of minimum viable population for giant panda ecosystems with membrane computing models. Nat. Comput. 22(1): 69-93 (2023) - [j27]Haina Rong
Bio-inspired modelling as a practical tool to manage giant panda population dynamics in captivity. Nat. Comput. 22(1): 133-147 (2023) - 2022
- [j26]Haijian Hu, Yicen Liu, Haina Rong
Detection of Insulators on Power Transmission Line Based on an Improved Faster Region-Convolutional Neural Network. Algorithms 15(3): 83 (2022) - [j25]Gexiang Zhang, Xihai Zhang
A Layered Spiking Neural System for Classification Problems. Int. J. Neural Syst. 32(8): 2250023:1-2250023:15 (2022) - [j24]Meng Hu, Xiantai Gou, Fang Deng, Qifen Liu, Haina Rong:
Research on Compound Numerical Spiking Neural P Systems. Int. J. Unconv. Comput. 17(1-2): 61-79 (2022) - [j23]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) - [j22]Haina Rong, Yingying Duan, Gexiang Zhang
A bibliometric analysis of membrane computing (1998-2019). J. Membr. Comput. 4(2): 177-207 (2022) - [j21]Jianping Dong, Gexiang Zhang
Migration strategy in distributed adaptive optimization spiking neural P systems. J. Membr. Comput. 4(4): 314-328 (2022) - 2021
- [j20]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) - [j19]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) - [j18]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) - [j17]Xiantai Gou, Qifen Liu, Haina Rong, Meng Hu, Pirthwineel Paul, Fang Deng, Xihai Zhang, Zhibin Yu:
A Novel Spiking Neural P System for Image Recognition. Int. J. Unconv. Comput. 16(2-3): 121-139 (2021) - [j16]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) - [j15]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) - [j14]Zhibin Yu, Hong Chen, Chunxia Chen, Haina Rong, Xiantai Gou:
Recognition of Household Electrical Appliances Using Deep Neural Network. Int. J. Unconv. Comput. 16(2-3): 217-237 (2021) - [j13]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) - [j12]Zeyi Shang, Sergey Verlan, Gexiang Zhang, Haina Rong:
FPGA Implementation of Numerical P Systems. Int. J. Unconv. Comput. 16(2-3): 279-302 (2021) - 2020
- [j11]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) - [j10]Haina Rong
Load Estimation of Complex Power Networks from Transformer Measurements and Forecasted Loads. Complex. 2020: 2941809:1-2941809:14 (2020) - [j9]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) - [j8]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) - [c13]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
- [j7]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) - 2018
- [j6]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) - [c12]Haina Rong, Tingfang Wu, Linqiang Pan, Gexiang Zhang
Spiking Neural P Systems: Theoretical Results and Applications. Enjoying Natural Computing 2018: 256-268 - 2016
- [c11]Kang Huang, Gexiang Zhang
Fault Classification of Power Transmission Lines Using Fuzzy Reasoning Spiking Neural P Systems. BIC-TA (1) 2016: 109-117 - 2015
- [j5]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) - 2014
- [j4]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) - [j3]Gexiang Zhang
An Optimization Spiking Neural P System for Approximately Solving Combinatorial Optimization Problems. Int. J. Neural Syst. 24(5) (2014) - 2013
- [j2]Haina Rong, Jixiang Cheng, Yuquan Li:
Radar Emitter Signal Analysis with Estimation of Distribution Algorithms. J. Networks 8(1): 108-115 (2013) - 2011
- [c10]Xiaoli Huang, Gexiang Zhang
Evolutionary Design of a Simple Membrane System. Int. Conf. on Membrane Computing 2011: 203-214 - 2010
- [j1]Gexiang Zhang
Analyzing radar emitter signals with membrane algorithms. Math. Comput. Model. 52(11-12): 1997-2010 (2010) - [c9]Hua Zhang, Gexiang Zhang
Comparisons of quantum rotation gates in quantum-inspired evolutionary algorithms. ICNC 2010: 2306-2310 - [c8]Fen Zhou, Gexiang Zhang
A particle swarm optimization based on P systems. ICNC 2010: 3003-3007
2000 – 2009
- 2007
- [c7]Gexiang Zhang, Haina Rong:
Quantum-Inspired Genetic Algorithm Based Time-Frequency Atom Decomposition. International Conference on Computational Science (4) 2007: 243-250 - [c6]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 - [c5]Gexiang Zhang, Haina Rong:
Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals. RSKT 2007: 484-491 - [c4]Gexiang Zhang, Haina Rong:
Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation. RSKT 2007: 492-499 - 2006
- [c3]Gexiang Zhang, Haina Rong, Weidong Jin:
Intra-pulse Modulation Recognition of Unknown Radar Emitter Signals Using Support Vector Clustering. FSKD 2006: 420-429 - 2005
- [c2]Haina Rong, Gexiang Zhang
Application of support vector machines to nonlinear system identification. ISADS 2005: 501-507 - 2004
- [c1]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
Coauthor Index
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last updated on 2024-10-30 20:33 CET by the dblp team
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