Results 11 to 20 of about 204,378 (285)
An optimization method for dynamics of structures with repetitive component patterns [PDF]
, 2009 The occurrence of dynamic problems during the operation of machinery may have devastating effects on a product. Therefore, design optimization of these products becomes essential in order to meet safety criteria.
Akcay Perdahcioglu, D. +3 more
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Dynamic Multi-Objective Optimization Inverse Prediction of Excavation-Induced Tunnel Displacement
Shanghai Jiaotong Daxue xuebao, 2022 Control of the disturbed displacement of adjacent tunnel during excavation is a significant issue for design and construction. Based on the multi-objective optimization method, the multi-type monitoring data in the excavation of the excavation are ...
HE Wei, SUN Honglei, TAO Yuanqin, CAI Yuanqiang
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Zhongguo Jianchuan Yanjiu, 2020 Objectives Aiming at the problem that it is difficult to ensure global approximation accuracy and computational efficiency in the traditional reliability-based design optimization of ship structures, a reliability optimization strategy based on a dynamic
LIU Jing, WANG Deyu
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Real-time optimization of wind farms using modifier adaptation and machine learning [PDF]
Wind Energy Science, 2020 Coordinated wind farm control takes the interaction between turbines into account and improves the performance of the overall wind farm. Accurate surrogate models are the key to model-based wind farm control.
L. E. Andersson, L. Imsland
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Towards Data-Driven Dynamic Surrogate Models for Ocean Flow [PDF]
Proceedings of the Platform for Advanced Scientific Computing Conference, 2019 Coarse graining of (geophysical) flow problems is a necessity brought upon us by the wide range of spatial and temporal scales present in these problems, which cannot be all represented on a numerical grid without an inordinate amount of computational resources. Traditionally, the effect of the unresolved eddies is approximated by deterministic closure
Edeling, W., Crommelin, D.
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Noise shielding surrogate models using dynamic artificial neural networks [PDF]
INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2021 The optimal design methodologies in aeronautics are known to be constrained by the computational burden required by direct simulations. Due to this reason, the development of efficient metamodelling techniques represents nowadays an imperative need for the designers. In fact, surrogate models has been demonstrated to significantly reduce the number of
Centracchio F. +4 more
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Reliability-based optimization of ship structure based on interest subdomain dynamic surrogate model
Zhongguo Jianchuan Yanjiu, 2021 ObjectivesAiming at the difficulty of ensuring the fitting accuracy and optimization efficiency of surrogate models due to the high nonlinearity in ship structure reliability-based optimization design, a reliability-based ship structure optimization ...
Wenjun LUO, Deyu WANG
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Journal of Cloud Computing: Advances, Systems and Applications, 2023 Hyperparameter optimization (HPO) of deep neural networks plays an important role of performance and efficiency of detection networks. Especially for cloud computing, automatic HPO can greatly reduce the network deployment cost by taking advantage of the
Jianlong Zhang +4 more
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Versatile surrogate models for IC buffers [PDF]
, 2012 In previous papers [1,2] the authors have investigated the use of Volterra series in the identification of IC buffer macro-models. While the approach benefited from some of the inherent qualities of Volterra series it preserved the two-state paradigm of ...
Canavero, Flavio +5 more
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IEEE Access, 2022 The current design process of mooring systems for Floating Production, Storage, and Offloading units (FPSOs) depends on the availability of the platform’s mathematical model and the accuracy of dynamic simulations.
Lucas P. Cotrim +5 more
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