## 4 BP Neural Network and Pearson Correlation Analysis
### Computation Analysis
#### 4.2.1 Evaluation of Working Conditions
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Index** & **Evaluation Indicators** & **Data** & **Remarks** \\ \hline \multirow{6}{*}{Working condition 13} & Sum of Square Errors, E\({}_{\text{SSE}}\) & 0.00021467 & Fit between predicted and actual values \\ \cline{2-4}  & Mean Absolute Error, E\({}_{\text{MAE}}\) & 0.0012303 & Average absolute difference between the predicted and actual values \\ \cline{2-4}  & Mean Absolute Percentage Error, E\({}_{\text{MAP}}\) & 0.0015655 & Error across datasets with varying magnitudes \\ \cline{2-4}  & Mean Square Error, E\({}_{\text{MSE}}\) & 2.9009\(\cdot 10^{-6}\) & Mean square error of prediction discrepancies \\ \cline{2-4}  & Root Mean Square Error, E\({}_{\text{RMSE}}\) & 0.0017032 & The square root of the mean square differences between predicted and actual values \\ \hline \multirow{6}{*}{Working condition 14} & Sum of Square Errors, E\({}_{\text{SSE}}\) & 0.00014928 & Fit between predicted and actual values \\ \cline{2-4}  & Mean Absolute Error, E\({}_{\text{MAE}}\) & 0.0011504 & Average absolute difference between the predicted and actual values \\ \cline{2-4}  & Mean Absolute Percentage Error, E\({}_{\text{MAP}}\) & 0.010992 & Error across datasets with varying magnitudes \\ \cline{2-4}  & Mean Square Error, E\({}_{\text{MSE}}\) & 1.3951\(\cdot 10^{-6}\) & Mean square error of prediction discrepancies \\ \cline{2-4}  & Root Mean Square Error, E\({}_{\text{RMSE}}\) & 0.0011812 & The square root of the mean square differences between predicted and actual values \\ \hline \multirow{6}{*}{Working condition 15} & Sum of Square Errors, E\({}_{\text{SSE}}\) & 0.00017113 & Fit between predicted and actual values \\ \cline{2-4}  & Mean Absolute Error, E\({}_{\text{MAE}}\) & 0.0015861 & Average absolute difference between the predicted and actual values \\ \cline{2-4}  & Mean Absolute Percentage Error, E\({}_{\text{MAP}}\) & 0.0023651 & Error across datasets with varying magnitudes \\ \cline{2-4}  & Mean Square Error, E\({}_{\text{MSE}}\) & 2.5542\(\cdot 10^{-6}\) & Mean square error of prediction discrepancies \\ \cline{2-4}  & Root Mean Square Error, E\({}_{\text{RMSE}}\) & 0.0015982 & The square root of the mean square differences between predicted and actual values \\ \hline \multirow{6}{*}{Working condition 16} & Sum of Square Errors, E\({}_{\text{SSE}}\) & 0.00094847 & Fit between predicted and actual values \\ \cline{2-4}  & Mean Absolute Error, E\({}_{\text{MAE}}\) & 0.002352 & Average absolute difference between the predicted and actual values \\ \cline{2-4}  & Mean Absolute Percentage Error, E\({}_{\text{MAP}}\) & 0.017463 & Error across datasets with varying magnitudes \\ \cline{2-4}  & Mean Square Error, E\({}_{\text{MSE}}\) & 5.2693\(\cdot 10^{-5}\) & Mean square error of prediction discrepancies \\ \cline{2-4}  & Root Mean Square Error, E\({}_{\text{RMSE}}\) & 0.007259 & The square root of the mean square differences between predicted and actual values \\ \hline \multirow{6}{*}{Working condition 17} & Sum of Square Errors, E\({}_{\text{SSE}}\) & 0.00049875 & Fit between predicted and actual values \\ \cline{2-4}  & Mean Absolute Error, E\({}_{\text{MAE}}\) & 0.002734 & Average absolute difference between the predicted and actual values \\ \cline{2-4}  & Mean Absolute Percentage Error, E\({}_{\text{MAP}}\) & 0.0077481 & Error across datasets with varying magnitudes \\ \cline{2-4}  & Mean Square Error, E\({}_{\text{MSE}}\) & 9.975\(\cdot 10^{-6}\) & Mean square error of prediction discrepancies \\ \cline{2-4}  & Root Mean Square Error, E\({}_{\text{RMSE}}\) & 0.0031583 & The square root of the mean square differences between predicted and actual values \\ \hline \multirow{6}{*}{Working condition 18} & Sum of Square Errors, E\({}_{\text{SSE}}\) & 0.0043433 & Fit between predicted and actual values \\ \cline{2-4}  & Mean Absolute Error, E\({}_{\text{MAE}}\) & 0.0063359 & Average absolute difference between the predicted and actual values \\ \cline{2-4}  & Mean Absolute Percentage Error, E\({}_{\text{MAP}}\) & 0.012839 & Error across datasets with varying magnitudes \\ \cline{2-4}  & Mean Square Error, E\({}_{\text{MSE}}\) & 5.6407\(\cdot 10^{-5}\) & Mean square error of prediction discrepancies \\ \cline{2-4}  & Root Mean Square Error, E\({}_{\text{RMSE}}\) & 0.0075104 & The square root of the mean square differences between predicted and actual values \\ \cline{2-4}  & Root Mean Square Error, E\({}_{\text{RMSE}}\) & 0.0075104 & The square root of the mean square differences between predicted and actual values \\ \hline \hline \end{tabular}
\end{table}