3 Results 3.1 Model evaluation & BPM generation To assess the performance of the devised CNN-RNN network, the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) are used. Equation 1 describes the MAE where n is the number of samples, xˆi is the true value CNN-RNN ...
Compare conventional algorithms results with the newly proposed PJSM algorithm results by finding the MAE and RMSE. Accordingly, the proposed PJSM algorithm results in showing superiority for the predicted rated data and reduces the error ratio as well. The PJSM algorithm is also effective in ...
3 Results 3.1 Model evaluation & BPM generation To assess the performance of the devised CNN-RNN network, the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) are used. Equation 1 describes the MAE where n is the number of samples, xˆi is the true value CNN-RNN ...