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A neural network based technique for muscle coordination and vertical jump height prediction

The purpose of this study was to investigate the training of artificial neural networks (ANNs) to predict muscle coordination and vertical jump height. The paper presents the structure and training techniques of ANNs that give the best prediction of muscle coordination and jump height. In training the ANNs different electromyography (EMG) characteristics were investigated for optimal ANN muscle coordination and jump height prediction. The technique has been implemented in C++ on the SP2 supercomputer. The preliminary results are very promising, some of which are presented in this paper.