Results 11 to 20 of about 566,253 (298)
Parametric modeling of photometric signals [PDF]
, 2002 This paper studies a new model for photometric signals under high flux assumption. Photometric signals are modeled by Gaussian autoregressive processes having the same mean and variance denoted Constraint Gaussian Autoregressive Processes (CGARP's).
Alengrin, Gérard +2 more
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Automated Neural Network-Based Multiphysics Parametric Modeling of Microwave Components
IEEE Access, 2019 This paper proposes a novel technique for automated neural network based multiphysics parametric modeling of microwave components. For the first time, we propose to utilize automated model generation (AMG) algorithm in the field of electromagnetic (EM ...
Weicong Na +5 more
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Parametric Modeling of Microwave Structure with Customization Responses by Combining RBF Neural Network and Pole-Residue-Based Transfer Functions [PDF]
Radioengineering, 2022 This paper proposed a parametric modeling technique for the microwave structures with a customization magnitude response by combining the RBF neural network and pole-residue-based transfer functions.
Y. Ma, S. Wu, Y. Yuan, N. Yuan
doaj
The Review of Electromagnetic Field Modeling Methods for Permanent-Magnet Linear Motors
Energies, 2022 Permanent-magnet linear motors (PMLMs) are widely used in various fields of industrial production, and the optimization design of the PMLM is increasingly attracting attention in order to improve the comprehensive performance of the motor.
Xinmei Wang, Yifei Wang, Tao Wu
doaj +1 more source
Sensitivity analysis using data-driven parametric macromodels [PDF]
, 2011 An accurate parametric macromodeling method which builds the parameterized frequency behavior of systems from frequency data samples is presented.
Chemmangat Manakkal Cheriya, Krishnan +3 more
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Advanced Techniques of Stress Analysis [PDF]
INCAS Bulletin, 2013 This article aims to check the stress analysis technique based on 3D models also making a comparison with the traditional technique which utilizes a model built directly into the stress analysis program.
Simion TATARU +2 more
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Zhongguo Jianchuan Yanjiu, 2023 ObjectivesThe method of rewriting the element node information file to realize parametric modeling is commonly employed in existing structural optimization based on finite element (FE) strength calculation, but it remains difficult to consider variations
Wenping LUO +3 more
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Fully parameterized macromodeling of S-parameter data by interpolation of numerator & denominator [PDF]
, 2012 A robust approach for parametric macromodeling of tabulated frequency responses is presented. An existing technique is modified in such a way that interpolation is performed at the numerator and denominator level, rather than the transfer function level.
Deschrijver, Dirk, Dhaene, Tom
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Zhongguo Jianchuan Yanjiu, 2021 ObjectivesThe cabin-skeleton coupling structure of a blended-wing-body underwater glider is optimized using a data-driven discrete optimization concept.MethodsFirst, a Kriging-assisted discrete global optimization algorithm (KDGO) is proposed for ...
Huachao DONG, Peng WANG, Yijin ZHANG
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Advances in Mechanical Engineering, 2017 To accurately describe mechanical characteristics in the modeling and analysis of bolted joint structure in complex mechanical system, this article investigates on the equivalent parameters of mechanical characteristics (tension and compression stiffness,
Zhi Wang, Cheng-Wei Fei, Jian-Jun Wang
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