A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model [PDF]
Sensors, 2020 The control effect of various intelligent terminals is affected by the data sensing precision. The filtering method has been the typical soft computing method used to promote the sensing level. Due to the difficult recognition of the practical system and
Yu-ting Bai +4 more
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Modeling of Nonlinear SOEC Parameter System Based on Data-Driven Method
Atmosphere, 2023 Based on the basic nonlinear parameter system of the solid oxide electrolysis cell, the data-driven method was used for system identification. The basic model of the solid oxide electrolysis cell was accomplished in Simulink and experiments were ...
Dehao Hou +7 more
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The first order nonlinear autoregressive model with Ornstein Uhlenbeck processes driven by white noise [PDF]
Mathematics and Modeling in Finance, 2021 This paper presents a nonlinear autoregressive model with Ornstein Uhlenbeck processes innovation driven with white noise. Notations and preliminaries are presented about the Ornstein Uhlenbeck processes that have important ...
Parisa Nabati
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Exchange rate forecasting with Artificial Intelligence
Smart Cities and Regional Development Journal, 2023 This study concerns the problem of forecasting the exchange rate between the official currency of EU member states, Euro and Albanian Lek, aiming to identify the best predictive model for financial time series future trend prediction.
Katerina Zela (Male)
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Comparing Logistic Growth Model and Competing Models for Predicting the Overall Index in the Tehran Stock Exchange [PDF]
تحقیقات مالی, 2019 Objective: The main objective of this study is to compare the Harvey Logistic Growth Models, Harvey, and the Nonlinear Autoregressive Neural Network, and to design and find a model with better predictive accuracy for the Tehran Stock Exchange data.
Hamed Mansoori Gargari +1 more
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Advances in Mechanical Engineering, 2020 The clinker sintering system is widely controlled manually in the factory, and there is a large divergence between a linearized control model and the nonlinear rotary kiln system, so the controlled variables cannot be calculated accurately.
Meiqi Wang +3 more
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PERAMALAN HARGA BITCOIN DENGAN METODE SMOOTH TRANSITION AUTOREGRESSIVE (STAR)
E-Jurnal Matematika, 2022 One of the spectacular advances in technology in the economic field is the cryptocurrency it created. The fluctuating price of Bitcoin, is widely used as a means of making profit.
I GEDE MAHA HENDRA PRATAMA +2 more
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Nonlinear Lag Correction Based on the Autoregressive Model for Dynamic Flat-Panel Detectors
IEEE Access, 2023 Lag signal problems occur in acquiring X-ray image sequences from dynamic flat-panel detectors due to amorphous pixel photodiodes and incomplete readouts.
Eunae Lee, Dong Sik Kim
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Greedy nonlinear autoregression for multifidelity computer models at different scales
Energy and AI, 2020 Although the popular multi-fidelity surrogate models, stochastic collocation and nonlinear autoregression have been applied successfully to multiple benchmark problems in different areas of science and engineering, they have certain limitations.
W. Xing +4 more
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Comprehensive Learning Polynomial Auto-Regressive Model based on Optimization with Application of Time Series Forecasting [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2022 Nowadays time series analysis is an important challenge in engineering problems. In this paper, we proposed the Comprehensive Learning Polynomial Autoregressive Model (CLPAR) predict linear and nonlinear time series.
Nastaran Darjani, Hesam Omranpour
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