Research on the Application of Hybrid Density Network Combined with Gaussian Model in Computer Music Choreography

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Original hypothesis</td><td class="align_center">Trace statistic (probability)</td><td class="align_center">Maximum characteristic root statistic (probability)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left" rowspan="2">No covariance vector</td><td class="align_center">8.424707</td><td class="align_center">5.976167</td></tr><tr><td class="align_center">(0.4212)</td><td class="align_center">(0.6163)</td></tr><tr><td class="align_left" rowspan="2">There is at most one cointegrating vector</td><td class="align_center">2.448539</td><td class="align_center">2.448539</td></tr><tr><td class="align_center">(0.1176)</td><td class="align_center">(0.1176)</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Journal of Sensors

tab5

Table 5

Table 5: Research on the Application of Hybrid Density Network Combined with Gaussian Model in Computer Music Choreography 