Search Results - integrated backpropagation parameter estimation algorithm~

Research on Parameter Identification for Primary Frequency Regulation of Steam Turbine Based on Improved Bayesian Optimization-Whale Optimization Algorithm.

Authors: Li, Wei Hou, Weizhen Wen, Siyuan et al.

Source: Energies (19961073); Nov2025, Vol. 18 Issue 21, p5685, 30p

Subject Terms: STEAM-turbines, METAHEURISTIC algorithms, SYSTEM identification, PID controllers, PARAMETER estimation, STATISTICAL reliability, MATHEMATICAL optimization

Incorporating scaled conjugate gradient (SCG) in system identification for aircraft stability and control derivatives.

Authors: Rudesh, Challa Parvathi Singh, Sanjay Rao, P. Srinivasa et al.

Source: Discover Mechanical Engineering; 10/22/2025, Vol. 4 Issue 1, p1-18, 18p

Subject Terms: SYSTEM identification, MACHINE learning, ARTIFICIAL neural networks, AERODYNAMIC stability, PARAMETER estimation, CONJUGATE gradient methods

Deep-Learning-Enhanced Hybrid WOA-FMO Algorithm for Accurate PV Parameter Estimation in Single-, Double-, and Triple-Diode Models.

Authors: Embaresh, Hatem A. Farag Avci, Selçuk Alparslan Rahebi, Javad et al.

Source: Processes; Jul2025, Vol. 13 Issue 7, p2023, 23p

Subject Terms: PHOTOVOLTAIC power systems, PARAMETER estimation, OPTIMIZATION algorithms, DEEP learning, ENERGY consumption, METAHEURISTIC algorithms

"GAN+" Deep Learning Network in TBM Tunneling Parameter Prediction.

Authors: Wei, Xiaobing Li, Xiaojing Wang, Chaonan et al.

Source: Advances in Civil Engineering; 11/20/2025, Vol. 2025, p1-20, 20p

Subject Terms: GENERATIVE adversarial networks, DEEP learning, CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, ENGINEERING, LONG short-term memory, TUNNEL design & construction, PARAMETER estimation

Inversion of Vertical Electrical Sounding Data Based on PSO-BP Neural Network.

Authors: Wang, Yingjie Gu, Guanwen Wu, Ye et al.

Source: Minerals (2075-163X); Sep2025, Vol. 15 Issue 9, p925, 15p

Subject Terms: ELECTRICAL resistivity, ARTIFICIAL neural networks, PARAMETER estimation, OPTIMIZATION algorithms, ELECTRIC field strength, DEEP learning

State-Space Type-2 Fuzzy Adaptive Identification Approach Based on Evolving Data Clustering.

Authors: Magalhães Torres, Luís Miguel de Oliveira Serra, Ginalber Luiz

Source: Journal of Control, Automation & Electrical Systems; Oct2025, Vol. 36 Issue 5, p882-906, 25p

Subject Terms: PARTICLE swarm optimization, MULTI-objective optimization, NONLINEAR systems, DYNAMIC models, HELICOPTER control systems, CLUSTERING algorithms, PARAMETER estimation, FUZZY logic

Advancing Parameter Estimation in Differential Equations: A Hybrid Approach Integrating Levenberg–Marquardt and Luus–Jaakola Algorithms.

Authors: López-González, María de la Luz Jiménez-Islas, Hugo Domínguez Campos, Carmela et al.

Source: ChemEngineering; Dec2024, Vol. 8 Issue 6, p115, 24p

Subject Terms: PARAMETER estimation, DIFFERENTIAL equations, ROBUST optimization, ENGINEERING models, HEAT transfer

Extraction of PEM fuel cell variables based on modified hippopotamus optimization algorithm.

Authors: Aldakheel, Eman Abdullah Ismaeel, Alaa A. K. El-Rifaie, Ali M. et al.

Source: Scientific Reports; 9/29/2025, Vol. 15 Issue 1, p1-26, 26p

Subject Terms: PROTON exchange membrane fuel cells, OPTIMIZATION algorithms, DIGITAL twin, FORECASTING, MATHEMATICAL optimization, PARAMETER estimation

Robust algorithm development of frequency estimation in smart grid.

Authors: Yu, Yongqian Yang, Yi Wang, Xinyang et al.

Source: Scientific Reports; 8/26/2025, Vol. 15 Issue 1, p1-19, 19p

Subject Terms: SMART power grids, ALGORITHMS, SIGNAL frequency estimation, RANDOM noise theory, ROBUST statistics

Gen2Gen: Efficiently Training Artificial Neural Networks Using a Series of Genetic Algorithms.

Authors: Tsoulos, Ioannis G. Charilogis, Vasileios

Source: Knowledge; Sep2025, Vol. 5 Issue 3, p17, 23p

Subject Terms: ARTIFICIAL neural networks, GENETIC algorithms, PARAMETER estimation, CLASSIFICATION algorithms, MATHEMATICAL optimization, EMPIRICAL research

Optimizing PEMFC parameter identification using improved pufferfish algorithm and CNN.

Authors: Li, Ji Bastani, Changiz

Source: AIP Advances; Feb2025, Vol. 15 Issue 2, p1-12, 12p

Subject Terms: PROTON exchange membrane fuel cells, OPTIMIZATION algorithms, CONVOLUTIONAL neural networks, PARAMETER estimation, YIELD curve (Finance)

Parameter Estimation for p-Order Random Coefficient Autoregressive (RCA) Models Based on Kalman Filter

Authors: Mohammed Benmoumen Jelloul Allal Imane Salhi

Source: Journal of Applied Mathematics, Vol 2019 (2019)
J. Appl. Math.

Subject Terms: Function Approximation, Backpropagation Learning, Particle Filtering and Nonlinear Estimation Methods, Kalman Filters, Autoregressive model, 01 natural sciences, Simulated annealing, Control Systems and Network Applications, Engineering, Artificial Intelligence, QA1-939, FOS: Mathematics, 0101 mathematics, Self-Organizing Maps, Statistics, Nonlinear Estimation, Neural Network Fundamentals and Applications, Applied mathematics, Computer science, Extended Kalman filter, Algorithm, Control and Systems Engineering, Autocorrelation, Computer Science, Physical Sciences, Kalman filter, Mathematics

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https://doaj.org/article/973141478e0d4e54b85ed59637824333
https://projecteuclid.org/euclid.jam/1563933634
https://www.hindawi.com/journals/jam/2019/8479086/
https://www.hindawi.com/journals/jam/2019/8479086/abs/
https://doi.org/10.1155/2019/8479086
https://downloads.hindawi.com/journals/jam/2019/8479086.pdf
http://downloads.hindawi.com/journals/jam/2019/8479086.pdf
https://projecteuclid.org/euclid.jam/1563933634

Collaborative Estimation of Lithium Battery State of Charge Based on the BiLSTM-AUKF Fusion Model.

Authors: Wang, Rui Liu, Lele Zhang, Honghou et al.

Source: Energies (19961073); Nov2025, Vol. 18 Issue 21, p5624, 25p

Subject Terms: LITHIUM cells, LONG short-term memory, BATTERY management systems, ROBUST statistics, PARAMETER estimation, KALMAN filtering

Improved BP Neural Network Algorithm for Predicting Structural Parameters of Mirrors.

Authors: Xue, Kejuan Wang, Jinsong Chen, Yuan et al.

Source: Electronics (2079-9292); Jul2024, Vol. 13 Issue 14, p2789, 19p

Subject Terms: DUNG beetles, ROOT-mean-squares, MATHEMATICAL optimization, PARAMETER estimation, NONLINEAR functions

Modeling and State of Charge Estimation of Vanadium Redox Flow Batteries: A Review.

Authors: Feng, Ruijie Guo, Zhenshuo Meng, Xuan et al.

Source: Energies (19961073); Sep2025, Vol. 18 Issue 17, p4666, 32p

Subject Terms: VANADIUM redox battery, ENERGY storage, PARAMETER estimation, SIMULATION methods & models, RESEARCH evaluation, EMPIRICAL research, ELECTROCHEMICAL analysis, CHARGE measurement

Long-Term Forecast of Watershed Runoff Based on GWO-BP and Multi-Scale Forecasting Factor Analysis.

Authors: Zhang, Hairong Lei, Guanjun Wang, Wenchuan et al.

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9637, 15p

Subject Terms: WATERSHEDS, GREY Wolf Optimizer algorithm, PARAMETER estimation, FORECASTING, ARTIFICIAL neural networks, RUNOFF analysis, DATA analysis

Deep Learning-Driven Parameter Identification for Rock Masses from Excavation-Induced Tunnel Deformations.

Authors: Yan, Zhenhao Li, Qiang Ying, Guogang et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11419, 22p

Subject Terms: CONVOLUTIONAL neural networks, DEEP learning, GEOLOGICAL formations, PARAMETER estimation, FORECASTING, MACHINE learning, EXCAVATION (Civil engineering), TUNNELS

Novel approaches in geomechanical parameter estimation using machine learning methods and conventional well logs.

Authors: Mollaei, Farhad Moradzadeh, Ali Mohebian, Reza

Source: Geosystem Engineering; Oct2024, Vol. 27 Issue 5, p252-277, 26p

Subject Terms: POISSON'S ratio, YOUNG'S modulus, SHEAR waves, PARAMETER estimation, DRILL core analysis, DEEP learning, MACHINE learning

Ideal Parameter Estimation of Photocatalysis Process to Boost Amoxicillin Degradation Efficiency Using Marine Predators Optimization Algorithm.

Authors: Hassan, Mohamed K. Cotfas, Daniel T. Rezk, Hegazy et al.

Source: International Journal of Photoenergy; 9/16/2024, Vol. 2024, p1-13, 13p

Subject Terms: STANDARD deviations, OPTIMIZATION algorithms, WASTEWATER treatment, PARAMETER estimation, ARTIFICIAL intelligence

Forecasting the growth of Ambystoma mexicanum via artificial neural networks based on water quality parameters in intensive culture systems.

Authors: Axel Vera-Cortes, Christian Juan Carbajal-Hernández, José Samantha Morales-Rodríguez, Úrsula et al.

Source: Journal of Animal Behavior & Biometeorology. Jul2025, Vol. 13 Issue 3, p1-18. 18p.

Subjects: Artificial neural networks, Autoregressive models, Water quality, Transfer functions, Water temperature