Research Article
Design of Adaptive Filter Using Jordan/Elman Neural Network in a Typical EMG Signal Noise Removal
| Serial no. | Type of ANN | Hidden layer variation H1 H2 H3 | Correlation coefficient | MSE | | (s) | Training | Cross validation | Testing |
| 01 | MLP | 08,04,02 | 0.726 960 433 | 0.011 620 758 | 0.019 586 198 | 0.014 066 105 | 9.7826 | 6.1 | 02 | Gen FF | 08,04,02 | 0.738 815 896 | 0.011 513 017 | 0.018 595 822 | 0.01 154 671 | 9.7826 | 185.1 | 03 | Mod NN | 08,04,02 | 0.734 250 027 | 0.012 326 123 | 0.023 655 146 | 0.016 096 204 | 9.7826 | 37.9 | 04 | RBF | 08,04,02 | 0.710 938 982 | 0.011 711 991 | 0.020 447 456 | 0.014 686 126 | 9.7826 | 42.1 | 05 | Time-lag Rec | 08,04,02 | 0.703 300 064 | 0.009 955 203 | 0.023 340 290 | 0.016 268 503 | 9.7826 | 1.667 | 06 | Recurrent NN | 08,04,02 | 0.739 407 946 | 0.009 971 926 | 0.018 246 162 | 0.013 818 155 | 9.7826 | 493.8 |
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