Real-time track cycling performance prediction using ANFIS system-Reference-Cited by-同舟云学术

Real-time track cycling performance prediction using ANFIS system

Published:2018-09-03 Issue:5 Volume:18 Page:806-822
ISSN:2474-8668
Container-title:International Journal of Performance Analysis in Sport
language:en
Short-container-title:International Journal of Performance Analysis in Sport

Author:

Sudin Sukhairi¹²^ORCID,Md Shakaff Ali Yeon¹²,Zakaria Ammar¹²^ORCID,Salleh Ahmad Faizal²^ORCID,Kamarudin Latifah Munirah¹²^ORCID,Azmi Noraini¹²^ORCID,Ahmad Saad Fathinul Syahir¹²

Affiliation:

1. Centre of Excellence for Advanced Sensor Technology, Universiti Malaysia Perlis, Arau, Perlis, Malaysia

2. School of Mechatronic Engineering, Universiti Malaysia Perlis, Arau, Malaysia

Funder

Ministry of Higher Education, Malaysia

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/24748668.2018.1523520

Reference33 articles.

1. Fuzzy methods for prediction of seismic resilience of bridges

2. Temperature Management in Acute Neurologic Disorders

3. Effects of saddle height on pedal force effectiveness

4. Effects of Saddle Height, Pedaling Cadence, and Workload on Joint Kinetics and Kinematics During Cycling

5. The PWC170: comparison of different stage lengths in 11–16 year olds

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