Results 11 to 20 of about 7,268 (236)
Stochastic Finite Element Analysis using Polynomial Chaos
Studia Geotechnica et Mechanica, 2016 This paper presents a procedure of conducting Stochastic Finite Element Analysis using Polynomial Chaos. It eliminates the need for a large number of Monte Carlo simulations thus reducing computational time and making stochastic analysis of practical ...
Drakos S., Pande G.N.
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Penerapan Algoritma Optimasi Chaos pada Jaringan Ridge Polynomial untuk Prediksi Jumlah Pengangguran
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 Abstrak Ridge polynomial neural network (RPNN) awalnya diusulkan oleh Shin dan Ghosh, dibangun dari jumlah peningkatan order pi-sigma neuron (PSN). RPNN mempertahankan pembelajaran cepat, pemetaan yang kuat dari layer tunggal higher order neural network
Rina Pramitasari, Retantyo Wardoyo
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Polynomial chaos representation of databases on manifolds [PDF]
Journal of Computational Physics, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Soize, Roger G. Ghanem
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MECHANICAL STRUCTURAL RELIABILITY ANALYSIS BASED ON POLYNOMIAL CHAOS EXPANSIONS
Jixie qiangdu, 2022 Reliability is one of important index in the analysis and evaluation of mechanical structure. Aiming at the problems of various failure modes and low efficiency of reliability evaluation for complex mechanical structures, the reliability analysis method ...
WANG ZhiMing +4 more
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Angular Correlation Using Rogers-Szegő-Chaos
Mathematics, 2020 Polynomial chaos expresses a probability density function (pdf) as a linear combination of basis polynomials. If the density and basis polynomials are over the same field, any set of basis polynomials can describe the pdf; however, the most logical ...
Christine Schmid, Kyle J. DeMars
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Frontiers in Physics, 2023 An efficient method of moments (MoM) based on polynomial chaos expansion (PCE) is applied to quickly calculate the electromagnetic scattering problems. The triangle basic functions are used to discretize the surface integral equations.
Xiaohui Yuan +5 more
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Topics in Cognitive Science, EarlyView., 2023 Abstract Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation ...
Sebastian Wallot +5 more
wiley +1 more source
Mechanics & Industry, 2023 Surface response models, such as polynomial chaos Expansion, are commonly used to deal with the case of uncertain input parameters. Such models are only surrogates, so it is necessary to develop tools to assess the level of error between the reference ...
Serra Quentin, Florentin Eric
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Neumann enriched polynomial chaos approach for stochastic finite element problems [PDF]
, 2021 An enrichment scheme based upon the Neumann expansion method is proposed to augment the deterministic coefficient vectors associated with the polynomial chaos expansion method.
Adhikari, S., Pryse, S. E.
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Polynomial Chaos Helps Assessing Parameters Variations of PCB Lines [PDF]
, 2011 This paper presents an effective solution for the analysis of long PCB interconnects with the inclusion of uncertainties resulting from different sources of variation, like temperature or fabrication process, on both the structure and loading conditions.
Stievano, Igor Simone +5 more
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