This code realizes the construction of cokriging model, which is used for the structural size design of solder joints. The input is the radius, height and spacing, and the output is the maximum equivalent stress and life of solder joints
☆11Aug 11, 2023Updated 2 years ago
Alternatives and similar repositories for co-kriging-used-in-solder-joint-reliability-pridiction
Users that are interested in co-kriging-used-in-solder-joint-reliability-pridiction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Necessary codes for GP☆11Apr 25, 2020Updated 6 years ago
- My version of AK-MCS in Matlab, DACE toolbox is also provided but it is not mine.☆10Oct 26, 2022Updated 3 years ago
- matlab code achieving Hierarchical Kriging model (a kind of variable fidelity surrogate, which can be regard as an improved version of co…☆30Jun 22, 2019Updated 7 years ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆43Apr 28, 2017Updated 9 years ago
- Reliability-based Design Optimization☆12Apr 9, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This Matlab files are used to demonstrate on how to perform Reliability-based Design Optimization (RBDO) using FERUM. Two approaches are …☆16Aug 21, 2023Updated 2 years ago
- This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code imple…☆15Sep 12, 2019Updated 6 years ago
- Gradient-enhanced Kriging surrogate model☆27Dec 5, 2025Updated 6 months ago
- Multi-fidelity probability machine learning☆21Apr 25, 2026Updated 2 months ago
- This project predicts wind turbine failure using numerous sensor data by applying classification based ML models that improves prediction…☆13Mar 20, 2023Updated 3 years ago
- MIVor: An innovative adaptive Kriging approach for efficient problem classification.☆19Mar 11, 2020Updated 6 years ago
- ☆49Oct 13, 2021Updated 4 years ago
- multi-fidelity neural network☆24Mar 1, 2026Updated 3 months ago
- code of the paper "Reliability modeling and statistical analysis of accelerated degradation process with memory effects and unit-to-unit …☆13Jan 28, 2026Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- DACE Toolbox source code by Hans Bruun Nielsen, Søren Nymand and Lophaven Jacob Søndergaard☆13Jul 13, 2018Updated 7 years ago
- Multi-fidelity Gaussian Process Regression☆12Mar 22, 2023Updated 3 years ago
- The code is used to solve structural reliability analysis problem via the BSC_RLCB method☆16Nov 19, 2021Updated 4 years ago
- In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR…☆13Apr 4, 2022Updated 4 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆18Apr 12, 2025Updated last year
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- kernel partial least squares for feature selection☆17Aug 15, 2018Updated 7 years ago
- Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems☆20Jul 21, 2024Updated last year
- Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)☆12May 19, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- For the paper 'A novel isogeometric coupling approach for assembled thin-walled structures', here is the core code and implementation tha…☆14Aug 9, 2024Updated last year
- Representative point selection by the GF-discrepancy minimization technique for the probability density evolution method (PDEM).☆15Nov 24, 2024Updated last year
- Introduction to surrogate modeling optimization in wireless networks☆10May 10, 2018Updated 8 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- 基于双目视觉的三维重建项目☆21Jun 22, 2019Updated 7 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆69Dec 28, 2016Updated 9 years ago
- ☆12Apr 24, 2022Updated 4 years ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Nov 8, 2018Updated 7 years ago
- TSRoots: A Python package for efficient Gaussian process Thompson sampling in Bayesian optimization via rootfinding.☆10Mar 11, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Customized FERUM (Finite Element Reliability Using Matlab)☆13Apr 15, 2022Updated 4 years ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆15May 18, 2022Updated 4 years ago
- A framework for solving reliability analysis (aka design uncertainty quantification) and reliability-based robust design optimization (ak…☆14Feb 13, 2024Updated 2 years ago
- Randomized Greedy Polynomial Chaos Expansions☆10May 11, 2019Updated 7 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆35Dec 4, 2025Updated 6 months ago
- mechanoChemML library☆17Jan 16, 2026Updated 5 months ago
- Multi-fidelity Gaussian Process☆28Jan 10, 2021Updated 5 years ago