Effectiveness of Context-Aware Character Input Method for Mobile Phone Based on Artificial Neural Network

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Japanese character code</td><td align="center">10.64</td></tr><tr><td align="left">Noncharacter code</td><td align="center">1.97</td></tr><tr><td align="left" colspan="2"><hr/></td></tr><tr><td align="left">Total</td><td align="center">5.62</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mean number of erroneous node per segment.

Applied Computational Intelligence and Soft Computing

tab4

Table 4

Table 4: Effectiveness of Context-Aware Character Input Method for Mobile Phone Based on Artificial Neural Network 