Zzy SB 271046 custom synthesis wavelet neural network test outcome for “N” and pij choice
Zzy wavelet neural network test result for “N” and pij choice in EMT/EM MWD MWD response demodFigure 7. Fuzzy wavelet neural network test outcome for “N” and pij rangerange choice in EMT/EM response C6 Ceramide Data Sheet demodulation with a logistic response; (a) N equals five and p3 ranges from 2.5 to four, (b) N equals 8 and p3 ranges from five to 6.five, (c) N equals 3 three ij ulation using a logistic response; (a) N equalsij5 and pij 3ranges from two.five to four, (b) N equals 8 and pij ranges from five to 6.5, 20 and p3 ranges from 5 to six.five, and (d) N equals eight and pij ranges from 5.5 to 7. ij 3 three (c) N equals 20 and pij ranges from five to 6.5, and (d) N equals eight and pij ranges from 5.five to 7.Making use of the selected values, we educated the FWNN with a logistic response using 680randomly selected datasets with varying noise types. The education time was around Working with the selected values, we educated the FWNN having a logistic response applying 680randomly selected datasets with varying noise types. The education time was roughly eight h. Thereafter, we evaluated our strategy on a randomly selected test set with 54 datasets. The recorded expense was 0.02, plus the prediction result accuracy varied involving 92.five to 100 accuracy, using the SNR ratio varying from -20 to ten dB. Figures 8 andAppl. Sci. 2021, 11,14 ofAppl. Sci. 2021, 11, x FOR PEER Critique Appl. Sci. 2021, 11, x FOR PEER REVIEW8 h. Thereafter, we evaluated our strategy on a randomly selected test set with 54 datasets. The recorded price was 0.02, as well as the prediction result accuracy varied amongst 92.5 to one hundred accuracy, together with the SNR ratio varying from -20 to 10 dB. Figures eight and 9 show part of show a part of the retrieved code. The recovered code in Figure 8 was a 100 was a with all the results on the outcomes for the retrieved code. The recovered code in Figure 8match 100 show element forthe benefits for the retrieved code. The recovered code in Figure 8 was a one hundred match using the transmitted code, as against that of Figure latter codes latter mismatch the transmitted code, as against that of Figure 9, exactly where the 9, exactly where the have been acodes had been match using the transmitted code, as against that of Figure 9, where the latter codes had been a mismatch on account of the low signal-to-noise ratio. resulting from the low signal-to-noise ratio. a mismatch on account of the low signal-to-noise ratio.1 (a) 1 0.5 0.5 0 00 0 (b) 1 (b) 1 0 0 -1 -1 0 0 (c) (c) 5 5 0 0 -5 -5 0 0 (d) 2 (d) two 0 0 -2 -2 0 0 (e) (e) 1 1 0.five 0.5 0 0015 of 23 15 of(a)Transmitted code Transmitted code246 six Transmitted signal Transmitted signal81012NN orm alizedam pp orm alized am24 six eight 4 Pre-processed noisy signal 8 6 Pre-processed noisy signal101224 6 eight four Post-processed noisy signal8 six Post-processed noisy signal1012246 six Demodulated code Demodulated code8101224Time (s) Time (s)681012Figure 8. Description from the low-noise EM MWD response demodulation outcome utilizing an FWNN Figure 8. Description on the low-noise EM MWD response demodulation result using an FWNN Figure 8. Description of your low-noise EM MWD response demodulation outcome making use of an FWNN having a using a logistic response. (a) The generated code, representing transmitted details from BHA to (a) The generated code, representing transmitted facts from BHA having a logistic response. (a) The generated code, representing transmitted facts from BHA to the surface; (b)(b) the transmitted EM MWD signal primarily based the the code in (c) transmitted signal with the surface; (b) the transmitted EM MWD signal according to on code in (a); (a); (c) transmitted signal to the.
