Results 11 to 20 of about 5,026,748 (292)
Gaussian process model based predictive control [PDF]
, 2004 Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Rasmussen, C.E. +3 more
core +9 more sources
The Probabilistic Deconvolution of the Distribution of Relaxation Times with Finite Gaussian Processes [PDF]
, 2021 Electrochemical impedance spectroscopy (EIS) is a tool widely used to study the properties of electrochemical systems. The distribution of relaxation times (DRT) has emerged as one of the main methods for the analysis of EIS spectra.
Francesco , Ciucci +3 more
core +2 more sources
Gaussian Source Coding using a Simple Switched Quantization Algorithm and Variable Length Codewords
Advances in Electrical and Computer Engineering, 2020 This paper introduces an algorithm based on switched scalar quantization utilizing a novel Îź-law quantization model (optimized in terms of minimal distortion) and variable length codewords, for high-quality encoding of the signals modeled by Gaussian ...
PERIC, Z. +5 more
doaj +1 more source
An Adaptive Covariance Scaling Estimation of Distribution Algorithm
Mathematics, 2021 Optimization problems are ubiquitous in every field, and they are becoming more and more complex, which greatly challenges the effectiveness of existing optimization methods.
Qiang Yang +6 more
doaj +1 more source
Variational Bayesian inference of linear state space models
The Journal of Engineering, 2019 This article studies a variational Bayesian method to fix the linear regression (LR) model of which regressors are Gaussian distributed with non-zero prior means, and then apply the method to the linear state space (LSS) model.
Chuanchao Pan +2 more
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Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers
Sensors, 2020 This paper presents a new proposal to generate optimal pseudorandom numbers with Gaussian distribution. The generator is especially designed for low-cost hardware implementation, although the software version is also considered.
Guillermo Cotrina +2 more
doaj +1 more source
Acoustic Impedance Inversion Using Gaussian Metropolis–Hastings Sampling with Data Driving
Energies, 2019 The Markov chain Monte Carlo (MCMC) method based on Metropolis−Hastings (MH) sampling is a popular approach in solving seismic acoustic impedance (AI) inversion problem, as it can improve the inversion resolution by statistical prior information ...
Hao Wu +3 more
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Research on Tool Wear Monitoring Based on ET-GD and K-nearest Neighbor Algorithm
Journal of Harbin University of Science and Technology, 2023 Aiming at the problem of tool wear monitoring in milling process , a tool wear monitoring method based on extreme random tree and Gaussian distribution and K-nearest neighbor is proposed. In this method ,truncation method and Hampel filtering method are
QIN Yiyuan +4 more
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Analysis of concrete damage during testing by explosive charges
Vojnotehnički Glasnik, 1996 The results of a new testing method for the determination of concrete strength under pressure using small quantities of explosive charges are given. The method is based on the measurement of the crater size on a concrete surface after explosion.
Dragoljub Cvetković
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Известия высших учебных заведений: Геология и разведка, 2023 Background. Russia occupies a leading position in the global extraction of minerals, meeting all the demands of Russian economy. The efficiency of resources development determines the efficiency of both the oil and gas industry, as well as related ...
B. A. Ovezov
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