The prediction of action positions in team handball by non-linear hybrid neural networks
A Hassan, N Schrapf, M Tilp - International Journal of Performance …, 2017 - Taylor & Francis
One key to success in sport games is to anticipate individual and team tactical behaviour.
The earlier and the more accurate players can identify the opponents' strategy, the higher is …
The earlier and the more accurate players can identify the opponents' strategy, the higher is …
Evaluation of selected fuzzy particle swarm optimization algorithms
This paper is devoted to an evaluation of selected fuzzy particle swarm optimization
algorithms. Two non-fuzzy and four fuzzy algorithms are considered. The Takagi-Sugeno …
algorithms. Two non-fuzzy and four fuzzy algorithms are considered. The Takagi-Sugeno …
Modelling and predicting backstroke start performance using non-linear and linear models
K de Jesus, HVH Ayala, K de Jesus… - Journal of human …, 2018 - pmc.ncbi.nlm.nih.gov
Our aim was to compare non-linear and linear mathematical model responses for
backstroke start performance prediction. Ten swimmers randomly completed eight 15 m …
backstroke start performance prediction. Ten swimmers randomly completed eight 15 m …
A web-oriented expert system for planning hurdles race training programmes
This paper presents a web-oriented expert system, named iHurdling, to predict results and
generate training loads for 110 and 400 m hurdles races. The database contains 40 annual …
generate training loads for 110 and 400 m hurdles races. The database contains 40 annual …
Comparison of selected fuzzy PSO algorithms
This paper presents a comparison of selected fuzzy particle swarm optimization algorithms.
Two non-fuzzy and four fuzzy algorithms are considered. The Takagi–Sugeno fuzzy system …
Two non-fuzzy and four fuzzy algorithms are considered. The Takagi–Sugeno fuzzy system …
Planning Training Loads to Develop Technique and Rhythm in the 400m Hurdles using RBF Network
K Przednowek, J Iskra, KH Przednowek - International Congress on …, 2015 - scitepress.org
In this paper training loads to develop technique and rhythm in hurdles are presented. The
training loads were generated using an artificial neural networks model with radial basis …
training loads were generated using an artificial neural networks model with radial basis …
[PDF][PDF] Characteristics of the technical action model for athletes specializing in race walking within the long-term development system
S SOVENKO, V VYNOHRADOV, O EDELIEV… - efsupit.ro
At the current stage of sports development, technical training within the long-term
improvement system for race walking athletes should involve clearly defined model …
improvement system for race walking athletes should involve clearly defined model …
[PDF][PDF] FAKTOROVÁ ANALÝZA TRÉNINGOVÉHO ZAŤAŽENIA DETERMI-NUJÚCEHO ŠPORTOVÚ VÝKONNOSŤ CHODCA NA 35 KM FACTOR ANALYSIS OF …
J Broďáni, M Spišiak, M Morvay - Studia Kinanthropologica - sk.pf.jcu.cz
The work refers to the groups of training indicators which determine a sport performance at
35 kilometer walking race. We used an exploration factor analysis to reduce the indicators …
35 kilometer walking race. We used an exploration factor analysis to reduce the indicators …
[PDF][PDF] The use of artificial neural networks in supporting the annual training in 400 meter hurdles
This paper presents an evaluation of the annual cycle for 400 m hurdles using artificial
neural networks. The analysis included 21 Polish national team hurdlers. In planning the …
neural networks. The analysis included 21 Polish national team hurdlers. In planning the …
A fuzzy-based software tool used to predict 110m hurdles results during the annual training cycle
This paper describes a fuzzy-based software tool for predicting results in the 110m hurdles.
The predictive models were built on using 40 annual training cycles completed by 18 …
The predictive models were built on using 40 annual training cycles completed by 18 …