From: Technical and tactical diagnosis model of table tennis matches based on BP neural network
Variables | M ± SD | Variables | M ± SD | Variables | M ± SD |
---|---|---|---|---|---|
x1 | .0645 ± .05043 | x11 | .1557 ± .0683 | x21 | .1973 ± .0607 |
x2 | .7663 ± .4021 | x12 | .6379 ± .2378 | x22 | .4234 ± .2055 |
x3 | .0620 ± .0458 | x13 | .2005 ± .0662 | x23 | .1975 ± .0611 |
x4 | .8001 ± .3613 | x14 | .5617 ± .2431 | x24 | .3792 ± .1969 |
x5 | .0567 ± .0400 | x15 | .2038 ± .0620 | x25 | .3917 ± .1060 |
x6 | .8093 ± .3575 | x16 | .5376 ± .1879 | x26 | .4038 ± .1669 |
x7 | .1577 ± .0661 | x17 | .2234 ± .0662 | x27 | .3861 ± .0957 |
x8 | .6065 ± .2771 | x18 | .5527 ± .1813 | x28 | .3988 ± .1497 |
x9 | .1507 ± .0583 | x19 | .1857 ± .0576 | x29 | .3667 ± .1079 |
x10 | .6494 ± .2339 | x20 | .3912 ± .2355 | x30 | .3917 ± 1426 |