Research Article

Design of Adaptive Filter Using Jordan/Elman Neural Network in a Typical EMG Signal Noise Removal

Table 3

For hidden layers  = 4, input PE  = 1, output PE  = 1, transfer function  = TanhAxon, learning rule  = momentum, maximum epochs  = 1000, and threshold MSE  = 0.01.

Serial no.Type of ANNHidden layer variation H1 H2 H3 H4Correlation coefficient MSE ( s)
TrainingCross validationTesting

01Jordan/Elman network07,11,12,050.771 344 4180.006 039 5480.013 371 9670.012 071 4031.515125.6

02Jordan/Elman network07,11,12,050.78 827 9490.008 325 6980.017 142 5890.013 621 8691.515123.2

03Jordan/Elman network06,09,09,050.785 489 9780.009 970 1530.019 572 9750.014 487 7332.21 67535.7