English Classroom Teaching Evaluation System Based on Particle Swarm Optimization Algorithm
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Atlantis Press International BV
Reference12 articles.
1. Abolhoseini S, Mesgari SM, Mohamadi R (2021) Modified particle swarm optimization algorithm to solve location problems on urban transportation networks (Case study: Locating traffic police kiosks) (in Persian). J Geospatial Inf Technol 8(3):1–16
2. Bhattacharya A, Goswami RT, Mukherjee K (2019) A feature selection technique based on rough set and improvised PSO algorithm (PSORS-FS) for permission based detection of Android malwares. Int J Mach Learn Cybern 10(7):1893–1907
3. Chavoshian M, Taghizadeh M, Mazare M (2020) Hybrid dynamic neural network and PID control of pneumatic artificial muscle using the PSO algorithm. Int J Autom Comput 17(3):428–438
4. Cipriani E, Fusco G, Patella SM et al (2020) A particle swarm optimization algorithm for the solution of the transit network design problem. Smart Cities 3(2):541–554
5. Daryina AN, Prokopiev IV (2021) Parametric optimization of unmanned vehicle controller by PSO algorithm. Procedia Comput Sci 186(12):787–792
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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