chenghutang

chenghutang's Stars

• nmarcelo/Physics_Informed_NN

  Physics Informed Neural Network

  Language:MATLAB5

• ikelq/AFF-RBFNN-Control-with-the-DPE

  paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"

  Language:MATLAB94

• stxupengyu/BP-RBF-Prediction

  使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测

  Language:MATLAB19441

• rishiladdha/BayesianEstimation

  Localisation of a semi autonomous ground vehicle using recursive Bayesian Estimation based on camera data from a Raspberry Pi.

  Language:MATLAB1

• DinaRJ9/naive-bayes-pengolahan-citra

  Language:MATLAB3

• deenu26/Comparison-of-Logistic-Regression-and-Naive-Bayes

  Machine Learning coursework

  Language:MATLAB1

• Roberock/Bayesian_Model_Updating

  Bayesian Framework for Updating

  Language:MATLAB123

• Libra-SKY/Sparse-Bayesian-Learing-for-Regression

  Language:MATLAB1

• nooranidoost/Bayesian_estimation_of_Pa_viscoelasticity

  Bayesian estimation of Pseudomonas aeruginosa viscoelastic properties based on creep of wild type, rugose, and mucoid variant biofilms

  Language:MATLAB1

• rowan-walsh/CFD-Bayesian-Optimization

  Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.

  Language:MATLAB179

• Alivaziri/BayesianRL

  Language:MATLAB1

• bayesnet/bnt

  Bayes Net Toolbox for Matlab

  Language:MATLAB474249

• navidkarr/GA-ANN

  Hybridisation of Genetic Algorithm and Artificial Neural Network using MATLAB

  Language:MATLAB11

• navidkarr/PSO-ANN

  Hybridisation of Particle Swarm Optimisation and Artificial Neural Network using MATLAB

  Language:MATLAB21

• JiaxiangYi96/AMK-MCS-AEFF

  an active-learning method for reliability analysis based on multi-fidelity kriging model

  Language:MATLAB284

• deepanshuIITM/RBDO

  Reliability-based Design Optimization

  Language:MATLAB9

• tjuZeyuLiu/OA-Reliability-Assessment

  The SE, MCS, IISE, CEMCS and SS methods are used to evaluate the reliability indices of power systems. The EENS is used as the reliability indices. The RTS-79 case is included.

  Language:MATLAB8

• DANL-repos/Reliability_Multilayer_Networks

  Code for Yang, et al., 2020, "Reliability of dynamic network reconfiguration: impact of code implementation, parameter selection, scan duration, and task condition."

  Language:MATLAB33

• Chao-Dang/Reliability-Analysis-Using-Laplace-Transform-and-Mixture-Distribtution

  Source code of the paper: Dang C., Xu, J. Unified reliability assessment for problems with low- to high-dimensional random inputs using the Laplace transform and a mixture distribution. Reliabiliy Engineering & System Safety (2020). https://doi.org/10.1016/j.ress.2020.107124

  Language:MATLAB102

• mengli-2020/Expected-Uncertainty-Reduction-for-Kriging-based-Reliability-Analysis

  In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR), that serves as a meta-criterion to select the best sample from a set of optimal samples, each identified from a large number of candidate samples according to the criterion of an acquisition function.

  Language:MATLAB103

• AlanZhangNpu/TRA

  time-variant reliability analysis method

  Language:MATLAB134

• Matrixeigs/PowerSystemsReliabilityAssessment

  Power systems reliabilyt assessment using Monte-Carlo simulation

  Language:MATLAB2610

• iagolemos1/First-Order-Reliability-methods-MATLAB

  Language:MATLAB147

• LuXuefei/FastKriging

  Language:MATLAB6

• johnthedy/Adaptive-Kriging-Using-PSO-HHs-in-HECRAS3D

  Adaptive Kriging Adopting PSO with Hollow-Hypersphere space in HECRAS3D river flow reliability assessment

  Language:MATLAB2

• yasiaee/Co-kriging

  This code is implementation of Co-kiriging method works for any dimension problem

  Language:MATLAB4

• zhandawei/Anisotropy_Expected_Improvement

  An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation

  Language:MATLAB3

• KaiChengDM/Kriging-and-GE-Kriging-model-toolbox

  Gradient-enhanced Kriging surrogate model

  Language:MATLAB18

• zhandawei/Incremental_Kriging_Assisted_Evolutionary_Algorithm

  A fast Kriging-assisted evolutionary algorithm based on incremental learning

  Language:MATLAB317