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Akurasi Model Hybrid ARIMA-Artificial Neural Network dengan . . . ABSTRACT The purpose of this study is to model electronic money in Indonesia using a hybrid model and compare its accuracy with the non-hybrid model The hybrid model used is Autoregressive Integrated Moving Average (ARIMA)-Artificial Neural Network The data used is the amount of electronic money circulation for the monthly period January 2009 to October 2021 The ARIMA model formed from
Nonlinear Schapery viscoelastic material model for . . . The question arises whether the material response of a poly-mer under certain loads is linear or nonlinear In terms of a linear constitutive response, the material response is inde-pendent of the applied strain load If the viscoelastic mate-rial response depends not only on time but also on the load applied, the material behaves nonlinearly
2004-10-CICC_Vref-design - HKUST Since the non-linear temperature-dependent voltage in VEB (TlnT) can be expressed into a sum of high-order T terms, high-order temperature-dependence cancellation can be achieved depending on the relative temperature-coefficients of R1 and R3
Microsoft Word - 4 edit 20181-52733-1-RV-Komparasi Fungsi . . . Keunggulan Support Vector Machine (SVM) berasal dari kemampuan untuk menerapkan pemisahan linear pada input data non linear berdimensi besar, dan ini diperoleh dengan menggunakan fungsi kernel yang diperlukan [7]
ANALISIS PENGARUH PENGOPERASIAN BEBAN-BEBAN NON-LINIER . . . - UNUD Abstract The emergence of harmonic distortion of the operation of non-linear loads can lead to an abnormal electrical system This was proven through simulations on Blue Point Bay Villa Spa which has a majority in the form of a non-linear load Simulations performed using ETAP software, grouping types of non-linier loads, calculation of active power (P) and the load current (IL), analysis of
An Algorithm for Least-Squares Estimation of . . . - JSTOR DONALD W MARQUARDTt Introduction M\ost algorithms for the least-squares estimation of non-linear parameters have centered about either of two approaches On the one hand, the model may be expanded as a Taylor series and corrections to the several parameters calculated at each iteration on the assumption of local linearity On the other hand, various modifications of the method of steepest