zhry10 / DeepLSTMLinks
Deep LSTM for highly nonlinear system modeling
☆56Updated 6 years ago
Alternatives and similar repositories for DeepLSTM
Users that are interested in DeepLSTM are comparing it to the libraries listed below
Sorting:
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆96Updated 2 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆14Updated 7 months ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆19Updated 3 years ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 4 years ago
- Deep Learning for Structural Health monitoring☆19Updated last year
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆112Updated 4 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆114Updated 3 years ago
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆36Updated last month
- Earthquake Responses prediction using Deep learning and Database☆38Updated 7 months ago
- Codes of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simula…☆19Updated last month
- Research/development of physics-informed neural networks for dynamic systems☆29Updated 11 months ago
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆41Updated 4 months ago
- A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"☆15Updated 6 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆39Updated 3 years ago
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆83Updated last year
- Physics-informed neural networks package☆327Updated 3 years ago
- ☆11Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆12Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆161Updated last year
- ☆131Updated 3 years ago
- ☆87Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆64Updated 4 years ago
- Frequency Domain Decomposition (FDD)☆10Updated 5 years ago
- Reduced-order Variational Mode Decomposition (RVMD)☆27Updated 7 months ago
- ☆11Updated last year
- ☆10Updated 2 years ago
- ☆21Updated 2 years ago
- Physics-guided Deep Markov Models☆12Updated 3 years ago