Physics-Informed Neural Networks Trained with Particle Swarm Optimization
☆29Sep 20, 2022Updated 3 years ago
Alternatives and similar repositories for PSO-PINN
Users that are interested in PSO-PINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics Informed Neural Network for Time Series Forecasting☆13Jun 1, 2023Updated 3 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆14Jan 26, 2022Updated 4 years ago
- Project under CSF407 - AI☆13Jun 24, 2024Updated 2 years ago
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆17Dec 21, 2021Updated 4 years ago
- Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties☆14Sep 4, 2025Updated 9 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆20Dec 8, 2023Updated 2 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Physics-informed radial basis network☆41May 20, 2024Updated 2 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆11Oct 19, 2025Updated 8 months ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆24Nov 8, 2022Updated 3 years ago
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆15Jan 21, 2020Updated 6 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆34Aug 11, 2023Updated 2 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆67Feb 20, 2020Updated 6 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.
- CO2GraVISim is a reduced physics model of the flow of CO2 injected into a porous reservoir☆12Mar 25, 2025Updated last year
- ☆11Mar 25, 2020Updated 6 years ago
- ☆24Aug 14, 2025Updated 10 months ago
- A Simplified Electrochemical Lithium-ion Batteries Model based on Physics-informed Unsupervised Learning LSTM_Res Network☆15Nov 17, 2023Updated 2 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆18Jan 9, 2022Updated 4 years ago
- [GSI 2023] Learning Lagrangian Fluid Mechanics with E(3)-Equivariant GNNs☆15Jun 3, 2024Updated 2 years ago
- Lecture notes and exercises carried out as part of the Quantum Mechanics 1 course taught at Yachay Tech University.☆17Jan 27, 2026Updated 5 months ago
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆16May 2, 2022Updated 4 years ago
- Spacecraft trajectory optimization using differential evolution☆13Sep 7, 2018Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆35Feb 18, 2025Updated last year
- Implementation of followinf estimation algorithms in python: Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, Cubature Kal…☆11Dec 2, 2023Updated 2 years ago
- keras-regression-cnns☆11Dec 23, 2019Updated 6 years ago
- We propose Deep Kronecker Neural Network, which is a general framework for neural networks with adaptive activation functions. In particu…☆14Feb 1, 2023Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆298Oct 12, 2021Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆22Mar 25, 2023Updated 3 years ago
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆58May 16, 2022Updated 4 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20May 8, 2026Updated last month
- 基于深度学习的风电机组机械故障智能识别方法研究☆15Apr 13, 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.
- The implementation of the paper "A Physics-Informed Transformer Model for Vehicle Trajectory Prediction on Highways". The paper is now un…☆18May 31, 2022Updated 4 years ago
- Vision-Based Navigation for Auto-Docking☆13Apr 21, 2021Updated 5 years ago
- Scientific Machine Learning☆17Aug 12, 2025Updated 10 months ago
- ☆21Jun 3, 2024Updated 2 years ago
- recognizing handwritten and printed text in the same document☆11May 6, 2019Updated 7 years ago
- 用CGAN训练时频域特征生成特征样本，数据集非图片数据集，用到了dataset自定义的数据集。☆12Apr 30, 2022Updated 4 years ago
- 2D finite differences numerical modeling of seismic wave scattered by near-surface heterogeneities.☆12May 12, 2022Updated 4 years ago