Artigos de revistas sobre o tema "Neurodynamic optimization"
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Ji, Zheng, Xu Cai e Xuyang Lou. "A Quantum-Behaved Neurodynamic Approach for Nonconvex Optimization with Constraints". Algorithms 12, n.º 7 (5 de julho de 2019): 138. http://dx.doi.org/10.3390/a12070138.
Texto completo da fonteLe, Xinyi, Sijie Chen, Fei Li, Zheng Yan e Juntong Xi. "Distributed Neurodynamic Optimization for Energy Internet Management". IEEE Transactions on Systems, Man, and Cybernetics: Systems 49, n.º 8 (agosto de 2019): 1624–33. http://dx.doi.org/10.1109/tsmc.2019.2898551.
Texto completo da fonteLi, Guocheng, e Zheng Yan. "Reconstruction of sparse signals via neurodynamic optimization". International Journal of Machine Learning and Cybernetics 10, n.º 1 (18 de maio de 2017): 15–26. http://dx.doi.org/10.1007/s13042-017-0694-4.
Texto completo da fonteLeung, Man-Fai, e Jun Wang. "A Collaborative Neurodynamic Approach to Multiobjective Optimization". IEEE Transactions on Neural Networks and Learning Systems 29, n.º 11 (novembro de 2018): 5738–48. http://dx.doi.org/10.1109/tnnls.2018.2806481.
Texto completo da fonteMa, Litao, Jiqiang Chen, Sitian Qin, Lina Zhang e Feng Zhang. "An Efficient Neurodynamic Approach to Fuzzy Chance-constrained Programming". International Journal on Artificial Intelligence Tools 30, n.º 01 (29 de janeiro de 2021): 2140001. http://dx.doi.org/10.1142/s0218213021400017.
Texto completo da fonteYan, Zheng, Jun Wang e Guocheng Li. "A collective neurodynamic optimization approach to bound-constrained nonconvex optimization". Neural Networks 55 (julho de 2014): 20–29. http://dx.doi.org/10.1016/j.neunet.2014.03.006.
Texto completo da fonteWang, Tong, Hao Cui, Zhongyi Zhang e Jian Wei. "A Neurodynamic Approach for SWIPT Power Splitting Optimization". Journal of Physics: Conference Series 2517, n.º 1 (1 de junho de 2023): 012010. http://dx.doi.org/10.1088/1742-6596/2517/1/012010.
Texto completo da fonteLiu, Bao, Xuehui Mei, Haijun Jiang e Lijun Wu. "A Nonpenalty Neurodynamic Model for Complex-Variable Optimization". Discrete Dynamics in Nature and Society 2021 (16 de fevereiro de 2021): 1–10. http://dx.doi.org/10.1155/2021/6632257.
Texto completo da fonteZhao, You, Xiaofeng Liao e Xing He. "Novel projection neurodynamic approaches for constrained convex optimization". Neural Networks 150 (junho de 2022): 336–49. http://dx.doi.org/10.1016/j.neunet.2022.03.011.
Texto completo da fonteYan, Zheng, Jianchao Fan e Jun Wang. "A Collective Neurodynamic Approach to Constrained Global Optimization". IEEE Transactions on Neural Networks and Learning Systems 28, n.º 5 (maio de 2017): 1206–15. http://dx.doi.org/10.1109/tnnls.2016.2524619.
Texto completo da fonteLiu, Qingshan, Shaofu Yang e Jun Wang. "A Collective Neurodynamic Approach to Distributed Constrained Optimization". IEEE Transactions on Neural Networks and Learning Systems 28, n.º 8 (agosto de 2017): 1747–58. http://dx.doi.org/10.1109/tnnls.2016.2549566.
Texto completo da fonteQin, Sitian, Xinyi Le e Jun Wang. "A Neurodynamic Optimization Approach to Bilevel Quadratic Programming". IEEE Transactions on Neural Networks and Learning Systems 28, n.º 11 (novembro de 2017): 2580–91. http://dx.doi.org/10.1109/tnnls.2016.2595489.
Texto completo da fonteWu, Dawen, e Abdel Lisser. "Solving Constrained Pseudoconvex Optimization Problems with deep learning-based neurodynamic optimization". Mathematics and Computers in Simulation 219 (maio de 2024): 424–34. http://dx.doi.org/10.1016/j.matcom.2023.12.032.
Texto completo da fonteLeung, Man-Fai, e Jun Wang. "Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization". Neural Networks 145 (janeiro de 2022): 68–79. http://dx.doi.org/10.1016/j.neunet.2021.10.007.
Texto completo da fonteXu, Chen, Yiyuan Chai, Sitian Qin, Zhenkun Wang e Jiqiang Feng. "A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem". Neural Networks 124 (abril de 2020): 180–92. http://dx.doi.org/10.1016/j.neunet.2019.12.015.
Texto completo da fonteLiu, Shuxin, Haijun Jiang, Liwei Zhang e Xuehui Mei. "A neurodynamic optimization approach for complex-variables programming problem". Neural Networks 129 (setembro de 2020): 280–87. http://dx.doi.org/10.1016/j.neunet.2020.06.012.
Texto completo da fonteChe, Hangjun, e Jun Wang. "A collaborative neurodynamic approach to global and combinatorial optimization". Neural Networks 114 (junho de 2019): 15–27. http://dx.doi.org/10.1016/j.neunet.2019.02.002.
Texto completo da fonteYan, Zheng, e Jun Wang. "Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization". IEEE Transactions on Neural Networks and Learning Systems 26, n.º 4 (abril de 2015): 840–50. http://dx.doi.org/10.1109/tnnls.2014.2387862.
Texto completo da fonteFan, Jianchao, e Jun Wang. "A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization". IEEE Transactions on Neural Networks and Learning Systems 28, n.º 10 (outubro de 2017): 2344–56. http://dx.doi.org/10.1109/tnnls.2016.2582381.
Texto completo da fonteYang, Shaofu, Qingshan Liu e Jun Wang. "A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization". IEEE Transactions on Neural Networks and Learning Systems 29, n.º 4 (abril de 2018): 981–92. http://dx.doi.org/10.1109/tnnls.2017.2652478.
Texto completo da fonteChe, Hangjun, e Jun Wang. "A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization". IEEE Transactions on Neural Networks and Learning Systems 30, n.º 8 (agosto de 2019): 2503–14. http://dx.doi.org/10.1109/tnnls.2018.2884788.
Texto completo da fonteDai, Chengchen, Hangjun Che e Man-Fai Leung. "A Neurodynamic Optimization Approach for L1 Minimization with Application to Compressed Image Reconstruction". International Journal on Artificial Intelligence Tools 30, n.º 01 (29 de janeiro de 2021): 2140007. http://dx.doi.org/10.1142/s0218213021400078.
Texto completo da fonteJiang, Xinrui, Sitian Qin, Xiaoping Xue e Xinzhi Liu. "A second-order accelerated neurodynamic approach for distributed convex optimization". Neural Networks 146 (fevereiro de 2022): 161–73. http://dx.doi.org/10.1016/j.neunet.2021.11.013.
Texto completo da fonteQin, Sitian, Yadong Liu, Xiaoping Xue e Fuqiang Wang. "A neurodynamic approach to convex optimization problems with general constraint". Neural Networks 84 (dezembro de 2016): 113–24. http://dx.doi.org/10.1016/j.neunet.2016.08.014.
Texto completo da fonteLe, Xinyi, e Jun Wang. "A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization". IEEE Transactions on Neural Networks and Learning Systems 28, n.º 3 (março de 2017): 620–29. http://dx.doi.org/10.1109/tnnls.2016.2538288.
Texto completo da fonteWang, Jiasen, Jun Wang e Hangjun Che. "Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization". IEEE Transactions on Neural Networks and Learning Systems 31, n.º 4 (abril de 2020): 1145–54. http://dx.doi.org/10.1109/tnnls.2019.2918984.
Texto completo da fonteChe, Hangjun, e Jun Wang. "A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization". IEEE Transactions on Neural Networks and Learning Systems 32, n.º 1 (janeiro de 2021): 36–48. http://dx.doi.org/10.1109/tnnls.2020.2973760.
Texto completo da fonteLe, Xinyi, Sijie Chen, Zheng Yan e Juntong Xi. "A Neurodynamic Approach to Distributed Optimization With Globally Coupled Constraints". IEEE Transactions on Cybernetics 48, n.º 11 (novembro de 2018): 3149–58. http://dx.doi.org/10.1109/tcyb.2017.2760908.
Texto completo da fonteLiu, Na, e Sitian Qin. "A Novel Neurodynamic Approach to Constrained Complex-Variable Pseudoconvex Optimization". IEEE Transactions on Cybernetics 49, n.º 11 (novembro de 2019): 3946–56. http://dx.doi.org/10.1109/tcyb.2018.2855724.
Texto completo da fonteJia, Wenwen, Tingwen Huang e Sitian Qin. "A collective neurodynamic penalty approach to nonconvex distributed constrained optimization". Neural Networks 171 (março de 2024): 145–58. http://dx.doi.org/10.1016/j.neunet.2023.12.011.
Texto completo da fonteDrozdovski, A. K., A. A. Banayan e L. G. Ulyaeva. "Psycho-physiological approach to the problem of giftedness and high-quality sports selection". Current Issues of Sports Psychology and Pedagogy 1, n.º 1-2 (2021): 100–114. http://dx.doi.org/10.15826/spp.2021.1-2.11.
Texto completo da fonteDemin, D. B., L. V. Poskotinova e Ye V. Krivonogova. "EEG CHARACTERISTICS AND THYROID PROFILE RATIO IN ADOLESCENTS OF SUBPOLAR AND POLAR EUROPEAN NORTH AREAS". Bulletin of Siberian Medicine 12, n.º 1 (28 de fevereiro de 2013): 24–29. http://dx.doi.org/10.20538/1682-0363-2013-1-24-29.
Texto completo da fonteWang, Yadi, Xiaoping Li e Jun Wang. "A neurodynamic optimization approach to supervised feature selection via fractional programming". Neural Networks 136 (abril de 2021): 194–206. http://dx.doi.org/10.1016/j.neunet.2021.01.004.
Texto completo da fonteChang, Xinyue, Yinliang Xu e Hongbin Sun. "Online distributed neurodynamic optimization for energy management of renewable energy grids". International Journal of Electrical Power & Energy Systems 130 (setembro de 2021): 106996. http://dx.doi.org/10.1016/j.ijepes.2021.106996.
Texto completo da fonteFang, Xiaomeng, Dong Pang, Juntong Xi e Xinyi Le. "Distributed optimization for the multi-robot system using a neurodynamic approach". Neurocomputing 367 (novembro de 2019): 103–13. http://dx.doi.org/10.1016/j.neucom.2019.08.032.
Texto completo da fonteJiang, Xinrui, Sitian Qin e Xiaoping Xue. "A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization". Neurocomputing 377 (fevereiro de 2020): 225–33. http://dx.doi.org/10.1016/j.neucom.2019.10.050.
Texto completo da fonteHe, Shengzhan, Junjian Huang e Xing He. "Collective Neurodynamic Optimization for Image Segmentation by Binary Model with Constraints". Cognitive Computation 12, n.º 6 (27 de outubro de 2020): 1265–75. http://dx.doi.org/10.1007/s12559-020-09762-0.
Texto completo da fonteZeng, Zhigang, Andrzej Cichocki, Long Cheng, Youshen Xia e Xiaolin Hu. "Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications". IEEE Transactions on Neural Networks and Learning Systems 27, n.º 2 (fevereiro de 2016): 210–13. http://dx.doi.org/10.1109/tnnls.2016.2515458.
Texto completo da fonteNazemi, Alireza. "Solving general convex nonlinear optimization problems by an efficient neurodynamic model". Engineering Applications of Artificial Intelligence 26, n.º 2 (fevereiro de 2013): 685–96. http://dx.doi.org/10.1016/j.engappai.2012.09.011.
Texto completo da fonteHuang, Banghua, Yang Liu, Yun-Liang Jiang e Jun Wang. "Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization". Neural Networks 169 (janeiro de 2024): 83–91. http://dx.doi.org/10.1016/j.neunet.2023.10.011.
Texto completo da fonteDemin, D. B. "THE ASSESSMENT OF REACTIONS OF POLYGRAPHIC PARAMETERS AT HRV-BIOFEEDBACK TRAINING IN ADOLESCENTS WITH DIFFERENT VARIANTS OF CARDIAC AUTONOMIC NERVOUS SYSTEM TONE". Annals of the Russian academy of medical sciences 67, n.º 2 (22 de fevereiro de 2012): 11–15. http://dx.doi.org/10.15690/vramn.v67i2.117.
Texto completo da fonteBerga, David, e Xavier Otazu. "A Neurodynamic Model of Saliency Prediction in V1". Neural Computation 34, n.º 2 (14 de janeiro de 2022): 378–414. http://dx.doi.org/10.1162/neco_a_01464.
Texto completo da fontePeng, Zhouhua, Jun Wang e Dan Wang. "Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation". IEEE Transactions on Control Systems Technology 26, n.º 3 (maio de 2018): 1083–90. http://dx.doi.org/10.1109/tcst.2017.2699167.
Texto completo da fonteLe, Xinyi, Zheng Yan e Juntong Xi. "A Collective Neurodynamic System for Distributed Optimization with Applications in Model Predictive Control". IEEE Transactions on Emerging Topics in Computational Intelligence 1, n.º 4 (agosto de 2017): 305–14. http://dx.doi.org/10.1109/tetci.2017.2716377.
Texto completo da fonteYan, Zheng, Xinyi Le e Jun Wang. "Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization". IEEE Transactions on Industrial Electronics 63, n.º 7 (julho de 2016): 4377–86. http://dx.doi.org/10.1109/tie.2016.2544718.
Texto completo da fonteXiong, Wenxin, Christian Schindelhauer, Hing Cheung So, Joan Bordoy, Andrea Gabbrielli e Junli Liang. "TDOA-based localization with NLOS mitigation via robust model transformation and neurodynamic optimization". Signal Processing 178 (janeiro de 2021): 107774. http://dx.doi.org/10.1016/j.sigpro.2020.107774.
Texto completo da fonteYu, Yang, Wei Wang e Kang-Hyun Jo. "Adaptive consensus control of output-constrained second-order nonlinear systems via neurodynamic optimization". Neurocomputing 295 (junho de 2018): 1–7. http://dx.doi.org/10.1016/j.neucom.2017.12.052.
Texto completo da fonteLi, Xinqi, Jun Wang e Sam Kwong. "A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization". Neural Computation 32, n.º 8 (agosto de 2020): 1531–62. http://dx.doi.org/10.1162/neco_a_01294.
Texto completo da fonteWang, Tiancai, Xing He, Tingwen Huang, Chuandong Li e Wei Zhang. "Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid". Neural Networks 93 (setembro de 2017): 126–36. http://dx.doi.org/10.1016/j.neunet.2017.05.004.
Texto completo da fonteLiu, Na, e Sitian Qin. "A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints". Neural Networks 109 (janeiro de 2019): 147–58. http://dx.doi.org/10.1016/j.neunet.2018.10.010.
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