# Dimension Reduction Using New Bond Graph Algorithm and Deep Learning Pooling on EEG Signals for BCI
## 4 Experiment and Results
### Experiments and Scenarios
#### 4.4.4 Results of Fourth and Fifth Model Scenarios  
Tables 13 and 14 present the results related to the extraction and selection of features, including time domain, frequency domain, autoregression, and wavelet coefficients, on two channels (C3 = 8 and C4 = 12) and three channels (C3 = 8 and CZ = 10 and C4 = 12), respectively. In both cases, two filter banks, i.e., two and five, were combined, making a new signal with eight new frequency ranges.  
The GA obtained better average accuracies in both models, i.e., 66.16% and 65.45% for two channels and 66.59% and 66.57% for three channels.  
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Subject**} & \multicolumn{2}{c}{**PSO**} & \multicolumn{2}{c}{**GA**} & \multicolumn{2}{c}{**BGA**} & \multicolumn{2}{c}{**QGA**} \\ \cline{2-10}  & **Channel 8** & **Channel 12** & **Channel 8** & **Channel 12** & **Channel 8** & **Channel 12** & **Channel 8** & **Channel 12** \\ \hline
1 & 62.78 & 59.16 & **63.18** & **59.98** & 62.00 & 58.79 & 62.43 & 59.13 \\
2 & 57.24 & **60.21** & 56.60 & 61.04 & **58.30** & 59.57 & 56.38 & 59.32 \\
3 & 60.52 & 63.13 & **62.21** & 63.81 & 61.80 & 62.10 & 61.05 & **64.75** \\
4 & 59.18 & 60.00 & 59.76 & **60.80** & **60.00** & 59.84 & 59.05 & 60.03 \\
5 & 59.59 & 61.48 & 60.03 & **62.10** & 57.73 & 60.38 & 57.77 & 59.20 \\
6 & 57.57 & 57.98 & **59.75** & 58.38 & 56.65 & 57.89 & 57.70 & 57.94 \\
7 & **56.97** & 61.46 & 56.88 & 62.34 & 56.94 & 60.01 & 56.65 & 59.68 \\
8 & 60.71 & 59.95 & 61.12 & 62.09 & 60.12 & 59.90 & 60.29 & 60.66 \\
9 & 64.03 & 67.77 & **69.17** & 66.56 & 64.42 & 69.51 & 66.50 & **69.61** \\ Ave & 59.84 & 61.24 & **60.97** & **61.90** & 59.78 & 60.89 & 59.75 & 61.14 \\ \hline \hline \end{tabular}
\end{table}
Table 12: The results of algorithms with four methods (TD, FD, wavelet, and autoregression) on a single channel (C3 = 8 or C4 = 12) with FB 2 & 5 (25).  
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Subject**} & \multicolumn{2}{c}{**PSO**} & \multicolumn{2}{c}{**GA**} & \multicolumn{2}{c}{**BGA**} & \multicolumn{2}{c}{**QGA**} \\ \cline{2-10}  & **FB 2 \& 5 \& 6 \& 9 & **FB 2 \& 5 \& 6 \& 9 & **FB 2 \& 5 \& 6 \& 9 \\ \cline{2-10}  & **Channel 8** & **Channel 12** & **Channel 8** & **Channel 12** & **Channel 8** & **Channel 12** & **Channel 8** & **Channel 12** \\ \hline
1 & 60.0 & 60.6 & 59.71 & 62.25 & **60.6** & 61.0 & 58.3 & 59.9 \\
2 & 58.7 & 60.3 & 59.60 & 60.75 & 62.7 & **60.8** & 58.6 & 59.4 \\
3 & 60.3 & 61.6 & 61.18 & 62.07 & **61.1** & **63.0** & 61.0 & 61.1 \\
4 & 61.3 & 62.3 & 59.76 & 61.10 & **63.9** & **62.8** & 58.5 & 60.2 \\
5 & 59.9 & 63.1 & 61.55 & 63.32 & **61.1** & **64.1** & 60.1 & 61.8 \\
6 & 63.5 & 60.3 & 62.34 & 59.76 & 62.0 & **64.7** & 62.2 & 59.7 \\
7 & 61.3 & 65.8 & 61.78 & 65.80 & 60.3 & **66.7** & 60.7 & 66.2 \\
8 & 60.7 & 60.2 & 60.36 & 61.99 & **62.6** & **61.9** & 59.5 & 58.5 \\
9 & 60.5 & 61.3 & 59.56 & 61.3 & **61.4** & **63.2** & 58.9 & 61.4 \\ Ave & 60.7 & 61.7 & 60.65 & 61.4 & **61.5** & **63.1** & 59.8 & 60.9 \\ \hline \hline \end{tabular}
\end{table}
Table 11: Feature selection accuracy of PSO, GA, and BGA with 100 features, FB2 & 5 & 6 & 9, and ELM for 100 iterations.