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Optimization ofWavelet Neural Networks Model by Setting theWeighted Value of Output Through Fuzzy Rules Takagi-Sugeno-Kang (TSK) Type As a Fixed Parameter - Repository UNRAM

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Figure 1: Architecture of WNN Plus based on wavelet B-Spline, Bahri et al. (2016)
Figure 2: Architecture of proposed FWNN
Figure 3: (a) Data of tourist visits to NTB (left) and (b) data of cement sales of PT.Semen Gresik Tbk
Table 1: Comparison of parameters between WNN model and FWNN Model associatedof the case 1 and Case 2.
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Optimization ofWavelet Neural Networks Model by Setting theWeighted Value of Output Through Fuzzy Rules Takagi-Sugeno-Kang (TSK) Type As a Fixed Parameter - Repository UNRAM

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