EMG Diagnosis using the Conjugate Gradient Backpropagation Neural Network Learning Algorith

The usefulness of artificial neural networks (ANN) trained with the momentum backpropagation (MBP) algorithm in the quantification and classification of EMG data has recently been demonstrated. In this study a conjugate gradient backpropagation (CGBP) learning algorithm was applied in the training of ANN and results were compared to those of the MBP algorithm. Both algorithms gave similar diagnostic yields; however the CGBP learning algorithm significantly reduced the training time and the model architecture size