2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 8070 - 8077
Опубликована: Дек. 15, 2024
Язык: Английский
2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 8070 - 8077
Опубликована: Дек. 15, 2024
Язык: Английский
Computer Methods in Applied Mechanics and Engineering, Год журнала: 2024, Номер 431, С. 117290 - 117290
Опубликована: Авг. 19, 2024
Язык: Английский
Процитировано
23Computer Methods in Applied Mechanics and Engineering, Год журнала: 2025, Номер 439, С. 117888 - 117888
Опубликована: Март 11, 2025
Язык: Английский
Процитировано
2Applied Mathematical Modelling, Год журнала: 2025, Номер unknown, С. 116034 - 116034
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0International journal of mechanical system dynamics, Год журнала: 2025, Номер unknown
Опубликована: Март 18, 2025
ABSTRACT The fundamental period is a crucial parameter in structural dynamics that informs the design, assessment, and monitoring of structures to ensure safety stability buildings during earthquakes. Numerous machine‐learning deep‐learning approaches have been proposed predict infill‐reinforced concrete frame structures. However, challenges remain, including insufficient prediction accuracy excessive computational resource demands. This study aims provide new paradigm for accurately efficiently predicting periods, namely, Kolmogorov–Arnold networks (KANs) their variants, especially radial basis function KANs (RBF‐KANs). are formulated based on representation theorem, positioning them as promising alternative multilayer perceptron. In this research, we compare performance against fully connected neural (FCNNs) context prediction. mutual information method was employed analysis dependencies between features FP4026 data set. Nine predictive models, KANs, F‐KANs, FCNN‐2, FCNN‐11, CatBoost, Support Vector Machine, others, were constructed compared, with hyperparameters determined by Optuna, which will highlight optimal model amongst F‐KANs models. Numerical results manifest highest yielded R 2 = 0.9948, offers an explicit form formula. Lastly, further dive into explainability interpretability revealing number stories opening percentage significant effect results.
Язык: Английский
Процитировано
0SPE Reservoir Simulation Conference, Год журнала: 2025, Номер unknown
Опубликована: Март 18, 2025
Abstract Kolmogorov-Arnold Networks (KANs), introduced in May 2024, present a novel network structure. Early researches show they outperform Multi-Layer Perceptrons (MLPs) computational efficiency, interpretability, and interaction. This paper aims to create the first physics-informed KAN (PIKAN) by replacing MLP with PINN, assessing its performance of solving fractional flow equation waterflooding reservoirs. To build PIKAN, spatial coordinates time serve as inputs, water saturation outputs. The loss function is derived from governing equation, initial, boundary conditions. It's optimized using Adam L-BFGS algorithms, updating PIKAN parameters. structure allows for automatic differentiation training, evaluation PIKANs conclude upon meeting accuracy criteria or reaching maximum optimization steps. We evaluate comparing their results high-fidelity benchmarks. findings reveal that can achieve similar prediction distribution MLP-based will experience more significant oscillations during training process compared PINN. In future, further improvement PIKAN's may be achieved improving optimizer study introduces promising into reservoir numerical simulations time, achieving pressure modeling heterogeneous reservoirs PIKAN. Compared existing developed demonstrates superior accuracy, robustness. provide initial reference developing universal rapid simulation history matching tools based on
Язык: Английский
Процитировано
0Physica D Nonlinear Phenomena, Год журнала: 2025, Номер unknown, С. 134689 - 134689
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Measurement, Год журнала: 2025, Номер unknown, С. 117642 - 117642
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Programming and Computer Software, Год журнала: 2025, Номер 51(3), С. 167 - 172
Опубликована: Май 11, 2025
Язык: Английский
Процитировано
0Computerized Medical Imaging and Graphics, Год журнала: 2025, Номер 124, С. 102568 - 102568
Опубликована: Май 23, 2025
Язык: Английский
Процитировано
0