Hybrid kernel extreme learning machine for evaluation of athletes' competitive ability based on particle swarm optimization

A physical education strategy benefit analysis method based on minimal flux parallel random tree algorithm is proposed. The physical education problem model with the optimization objective functions is put forward. The optimization mathematical model is established and its multi-objective weight ada...

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Veröffentlicht in:	Computers & electrical engineering 2019-01, Vol.73, p.23-31
1. Verfasser:	Yanpeng, Zhao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Athletes Benefit analysis Business competition Education Minimal flux Multiple objective analysis Neural networks Parallel random tree algorithm Particle swarm optimization Performance enhancement Physical education Strategy Weight
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