Results 21 to 30 of about 4,044,594 (272)
Dynamic Modeling, Parameter Estimation, and Uncertainty Analysis in R
Journal of Statistical Software, 2019 In a wide variety of research fields, dynamic modeling is employed as an instrument to learn and understand complex systems. The differential equations involved in this process are usually non-linear and depend on many parameters whose values determine ...
Daniel Kaschek +4 more
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Dynamic accelerator modeling [PDF]
Proceedings of International Conference on Particle Accelerators, 2002 Object-oriented programming has been used extensively to model the LBL Advanced Light Source 1.5 GeV electron storage ring. This paper is on the present status of the class library construction with emphasis on a dynamic modeling. >
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Dynamic Influence Networks for Rule-based Models [PDF]
, 2017 We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for representing and analyzing rule-based models of protein-protein interaction networks.
Boutillier, Pierre +6 more
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Differential equations of motion in matrix form of multibody systems driven by electric motors
Vietnam Journal of Mechanics, 2019 This paper presents the dynamic model of multibody systems driven by electric motors, the so-called electromechanical systems. The mechanical systems considered in this study include an open loop and/or a closed loop, a full-actuated and an under ...
Nguyen Quang Hoang, Vu Duc Vuong
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PNNARMA model: an alternative to phenomenological models in chemical reactors [PDF]
, 2001 This paper is focused on the development of non-linear neural models able to provide appropriate predictions when acting as process simulators. Parallel identification models can be used for this purpose.
Galván, Inés M. +2 more
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Dynamic Hierarchical Factor Models [PDF]
SSRN Electronic Journal, 2011 AbstractThis paper uses multilevel factor models to characterize within- and between-block variations as well as idiosyncratic noise in large dynamic panels. Block-level shocks are distinguished from genuinely common shocks, and the estimated block-level factors are easy to interpret. The framework achieves dimension reduction and yet explicitly allows
Emanuel Moench +2 more
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The Specification of Dynamic Discrete-Time Two-State Panel Data Models
Econometrics, 2018 This paper compares two approaches to analyzing longitudinal discrete-time binary outcomes. Dynamic binary response models focus on state occupancy and typically specify low-order Markovian state dependence.
Tue Gørgens, Dean Robert Hyslop
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Dynamic PRA Prospects for the Nuclear Industry
Frontiers in Energy Research, 2021 This review paper highlights approaches and tools available to the nuclear industry for dynamic probabilistic risk assessment (DPRA) using dynamic event trees.
Nathan E. Wiltbank, Camille J. Palmer
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Dynamic multiscale spatiotemporal models for Poisson data [PDF]
, 2017 We propose a new class of dynamic multiscale models for Poisson spatiotemporal processes. Specifically, we use a multiscale spatial Poisson factorization to decompose the Poisson process at each time point into spatiotemporal multiscale coefficients.
Ferreira, Marco A. R. +1 more
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THE USE OF MATHEMATICAL MODELS FOR THE OPTIMIZATION OF TRANSPORTS FROM THE COMPANY’S LOGISTICS AND OF FORRESTER MODELING TECHNIQUES ON TRAFFIC PROBLEMS [PDF]
Buletin ştiinţific: Universitatea din Piteşti. Seria Ştiinţe Economice, 2017 The optimization of transport from the company’s external logistic entails, besides the use of mathematical models based on linear programming, a correlation with the system’s dynamic functioning models.
Dorulet GRADINARU, Puiu GRADINARU
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