基于自组织理论角度对训练适应及其模型的研究与MATLAB实现.pdf

and organization theory, using neural network models, we research training

adaptation to enrich sports training theory and to provide new research methods

for directing the practice of training. By using of documentation, experiment

-ation, vertical tracking experimentation and modeling, we applied ET technology

with athletes EEG data as the major indexes of training adaptation, the result

of the track observation as the complementary indexes, established the model

of evaluation of training athletes. The model not only can serve the scientific

research and sports training but can be applied to practice in control of training.

Finally, it can provide the optimization of training control with theoretical

and technical support.Artificial neural network can simulate brain mechanisms

the inputted modes.MATLAB software provides aready-made neural network toolbox.

With it, the self-organizations networks models is established, trained,

simulated. Conclusions (1) the self-organization adaption characteristics of

the theory on sports training are enucleated from a theoretical perspective.

(2) Using MATLAB neural network tool-box the model of evaluation of training

adaptation state is established with high accuracy, objectivity and scientific

characteristics. (3) The success of the evaluation model proved feasible to apply

self-organization theory in sports training field in turn.

Keywords: self-organization theory; training adaptation theory; MATLAB neural

network toolbox; self-organizations neural network model; model of evaluation