Research on the Artificial Intelligence Teaching System Model for Online Teaching of Classical Music under the Support of Wireless Networks

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Signal dataset</td><td class="align_center" colspan="4">Q-learning algorithm</td></tr><tr class="thead"><td class="align_left" rowspan="2">Traditional Chinese music</td><td class="align_center" colspan="4">Butterfly_Lovers.mid</td></tr><tr class="thead"><td class="align_center">Time (s)</td><td class="align_center">Power (dB)</td><td class="align_center">Frequency</td><td class="align_center">Overall accuracy (%)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Music2</td><td class="align_center">0.714666 seconds</td><td class="align_center">0.0012</td><td class="align_center">0.9316</td><td class="align_center">97.81</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Music2 frequency analysis for online classical music education.</div>

Wireless Communications and Mobile Computing

tab2

Table 2

Table 2: Research on the Artificial Intelligence Teaching System Model for Online Teaching of Classical Music under the Support of Wireless Networks 