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Fuzzy control of the physical training intensity based on neural-network / 生物医学工程学杂志
Article in Zh | WPRIM | ID: wpr-312892
Responsible library: WPRO
ABSTRACT
Using computer technique, artificial neural network and fuzzy control theory, we have explored a real-time control method for the athlete's physical workload intensity in order that the goal of physical training can be reached effectively in accordance to the exercise plan. The technique could be useful for improving the efficiency of scientific physical training.
Subject(s)
Full text: 1 Index: WPRIM Main subject: Physiology / Sports / Algorithms / Neural Networks, Computer / Fuzzy Logic / Exercise Tolerance / Methods / Monitoring, Physiologic Limits: Humans Language: Zh Journal: Journal of Biomedical Engineering Year: 2003 Type: Article
Full text: 1 Index: WPRIM Main subject: Physiology / Sports / Algorithms / Neural Networks, Computer / Fuzzy Logic / Exercise Tolerance / Methods / Monitoring, Physiologic Limits: Humans Language: Zh Journal: Journal of Biomedical Engineering Year: 2003 Type: Article