xzk8559 / RecursiveLSTMLinks
Recursive long short-term memory network for predicting nonlinear structural seismic response
☆20Updated 4 years ago
Alternatives and similar repositories for RecursiveLSTM
Users that are interested in RecursiveLSTM 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.☆98Updated 2 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- ☆11Updated 2 years ago
- Deep Learning for Structural Health monitoring☆20Updated last year
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Updated 9 months ago
- Deep LSTM for highly nonlinear system modeling☆56Updated 6 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆41Updated 3 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆51Updated last month
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆13Updated 2 years ago
- Codes of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simula…☆19Updated 3 months ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 4 years ago
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆34Updated 4 years ago
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆43Updated 6 months ago
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆95Updated last year
- Complex beam PDEs are solved using physics informed neural networks☆12Updated last year
- Earthquake Responses prediction using Deep learning and Database☆40Updated 9 months ago
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆15Updated last month
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆116Updated 3 years ago
- Physics-informed neural networks package☆340Updated 3 years ago
- This repository contains code for predicting multiaxial fatigue life of metals using deep learning models (CNN, LSTM, and GRU) combined w…☆22Updated last year
- DeepXDE and PINN☆142Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆166Updated last year
- ☆15Updated 6 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆68Updated 4 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated 6 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Physics Informed Neural Network for solving 3D transient heat transfer☆14Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆23Updated 3 years ago