Gaussian process regression algorithms for nonlinear system state prediciton
☆13Jun 27, 2015Updated 10 years ago
Alternatives and similar repositories for Batch-Process-Soft-Sensor
Users that are interested in Batch-Process-Soft-Sensor are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Feb 23, 2020Updated 6 years ago
- ☆11Feb 6, 2018Updated 8 years ago
- Data-driven attitude control design for multirotor UAVs☆21May 1, 2017Updated 9 years ago
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆21Feb 4, 2020Updated 6 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Nov 15, 2013Updated 12 years ago
- 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.
- Soft Sensor with Variational Inference Technique☆20Oct 15, 2024Updated last year
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- An integrated software package for Industrial process monitoring and fault detection☆14Dec 22, 2018Updated 7 years ago
- Soft sensor modelling using multiple machine learning algorithms☆25Jul 1, 2019Updated 6 years ago
- Process Control code, include optimization, Model Predictive Control (MPC), Moving Horizon, Kalman filter etc☆23Sep 17, 2018Updated 7 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆29Sep 24, 2017Updated 8 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆34Apr 2, 2022Updated 4 years ago
- 基于pytorch实现的堆叠 自编码神经网络,包含网络模型构造、训练、测试☆18May 21, 2020Updated 6 years ago
- The code for the paper "Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors" by Danil Kuzin, Olga Isup…☆13Nov 19, 2018Updated 7 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.
- Iterative Learning Control algorithm code☆21Sep 20, 2019Updated 6 years ago
- Implementation of Standard Gaussian Process Regression(GPR) and Sparse GPR in Matlab.☆13Mar 8, 2018Updated 8 years ago
- Adaptive Soft Sensors☆19Jul 15, 2019Updated 6 years ago
- A Benchmark Model Simulator for Process Control and Monitoring☆12May 11, 2026Updated last month
- Collection of resources from each meetup event☆13Nov 26, 2020Updated 5 years ago
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Mar 16, 2021Updated 5 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Nov 27, 2016Updated 9 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆29Dec 5, 2021Updated 4 years ago
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.☆12Apr 28, 2020Updated 6 years ago
- Distributed variational Bayesian algorithms over sensor networks☆12Jun 30, 2017Updated 8 years ago
- A SVR implementation using MATLAB quadprog☆11Aug 29, 2017Updated 8 years ago
- Dimethyl ether/Methanol to Olefins (DMTO) is one of the important unit in coal chemical industry, and the distribution of its reaction p…☆11Jul 27, 2022Updated 3 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆57Jun 4, 2018Updated 8 years ago
- A collection of Fault Diagnosis python codes☆10Mar 13, 2022Updated 4 years ago
- Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)☆10Aug 23, 2021Updated 4 years ago
- Gaussian Process Regression for training data with noisy inputs and/or outputs☆10Mar 22, 2017Updated 9 years ago
- paper: Development of GCN-based soft sensor for quality prediction of process industry☆14Jun 16, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".☆10Dec 18, 2021Updated 4 years ago
- This project uses Bayesian Optimization to find the optimal hyperparameters for a fully-connected feed-forward neural network used to est…☆11Oct 24, 2020Updated 5 years ago
- MATLAB implementation of my Bayesian Optimization algorithms☆12Mar 17, 2018Updated 8 years ago
- 利用深度学习自编码器进行故障诊断的程序☆10May 27, 2018Updated 8 years ago
- Deep network embedding for graph representation learning in signed networks☆14Jul 8, 2020Updated 5 years ago
- The codes for ¨Multiscale Multitask Deep NetVLAD for Crowd Counting¨ published on IEEE Transactions on Industrial Informatics☆10Oct 23, 2018Updated 7 years ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆39Jan 11, 2024Updated 2 years ago