Human action tracking design of neural network algorithm based on GA-PSO in physical training

Springer Science and Business Media LLC - Tập 22 Số S2 - Trang 4149-4155 - 2019
Xinke Leng1, Jiang Huijun2, Xin Zuo1
1College of Physical Education, Hunan University, Changsha, China
2Department of Physical Education, Hunan First Normal College, Changsha, China

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Chatterjee, A., Pulasinghe, K., Watanabe, K., et al.: A particle-swarm-optimized fuzzy-neural network for voice-controlled robot systems. IEEE Trans. Ind. Electron. 52(6), 1478–1489 (2005)

Clow, B., White, T.: An evolutionary race: a comparison of genetic algorithms and particle swarm optimization used for training neural networks. In: Proceedings of the International Conference on Artificial Intelligence, pp. 582–588 (2004)

Lin, F.J., Chen, S.Y., Teng, L.T., et al.: Recurrent functional-link-based fuzzy neural network controller with improved particle swarm optimization for a linear synchronous motor drive. IEEE Trans. Magn. 45(8), 3151–3165 (2009)

Liu, L., Shao, L., Li, X., et al.: Learning spatio-temporal representations for action recognition: a genetic programming approach. IEEE Trans. Cybern. 46(1), 158–170 (2016)

Ghadimi, N.: A new hybrid algorithm based on optimal fuzzy controller in multimachine power system. Complexity 21(1), 78–93 (2015)

Coban, R.: Power level control of the TRIGA Mark-II research reactor using the multifeedback layer neural network and the particle swarm optimization. Ann. Nucl. Energy 69, 260–266 (2014)

Prasadl, B., Prasad, P.E.S.N.K., Sagar, Y.: An approach to develop expert systems in medical diagnosis using machine learning algorithms (asthma) and a performance study. Int. J. Soft Comput. (IJSC) 2(1), 26–33 (2011)

Kuo, R.J., Syu, Y.J., Chen, Z.Y., et al.: Integration of particle swarm optimization and genetic algorithm for dynamic clustering. Inf. Sci. 195, 124–140 (2012)

Mellit, A., Kalogirou, S.A.: MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: review of current status and future perspectives. Energy 70, 1–21 (2014)

Zhang, Y., Chan, J.W., Moretti, A., Uhrich, K.E.: Designing polymers with sugar-based advantages for bioactive delivery applications. J. Control. Release 219, 355–368 (2015)

Zhang, Y., Li, Q., Welsh, W., Moghe, P.V., Uhrich, Kathryn E.: Micellar and structural stability of nanoscale amphiphilic polymers: implications for anti-atherosclerotic bioactivity. Biomaterials 84, 230–240 (2016)

Zhang, Y., Mintzer, E., Uhrich, K.E.: Synthesis and characterization of PEGylated bolaamphiphiles with enhanced retention in liposomes. J. Colloid Interface Sci. 482, 19–26 (2016)

Chan, J.W., Zhang, Y., Uhrich, K.E.: Amphiphilic macromolecule self-assembled monolayers suppress smooth muscle cell proliferation. Bioconj. Chem. 26(7), 1359–1369 (2015)