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Articles

Recurrent Neural Network to Forecast Sprint Performance

Figures & data

Table 1. Glossary of numeric HRV and omegametry parameters.

Figure 1. Sample RNN topologies: (a) Elman and (b) Jordan.

Figure 1. Sample RNN topologies: (a) Elman and (b) Jordan.

Table 2. Pairwise transfer entropy (TE) against race time with permutation p-values.

Figure 2. Terminal model accuracies against held-out test data. Solid black line indicates perfect prediction.

Figure 2. Terminal model accuracies against held-out test data. Solid black line indicates perfect prediction.

Figure 3. ERNN c-ICE and d-ICE plots of ln-RMSSD stratified by time.

Figure 3. ERNN c-ICE and d-ICE plots of ln-RMSSD stratified by time.

Figure 4. ERNN c-ICE and d-ICE plots of DC stratified by time.

Figure 4. ERNN c-ICE and d-ICE plots of DC stratified by time.

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