xzk8559 / RecursiveLSTMLinks
Recursive long short-term memory network for predicting nonlinear structural seismic response
☆19Updated 3 years ago
Alternatives and similar repositories for RecursiveLSTM
Users that are interested in RecursiveLSTM are comparing it to the libraries listed below
Sorting:
- Physics-guided Convolutional Neural Network☆67Updated 4 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated last year
- ☆10Updated 2 years ago
- Deep LSTM for highly nonlinear system modeling☆56Updated 5 years ago
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆31Updated 3 years ago
- Deep Learning for Structural Health monitoring☆18Updated 10 months ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 3 years ago
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆75Updated last year
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆12Updated 4 months ago
- Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.☆15Updated 4 years ago
- Earthquake Responses prediction using Deep learning and Database☆37Updated 4 months ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆37Updated 2 years ago
- Codes of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simula…☆16Updated last month
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆12Updated 2 years ago
- ☆11Updated last year
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆110Updated 3 years ago
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆39Updated last month
- DeepXDE and PINN☆122Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆27Updated 8 months ago
- Physics-informed neural networks package☆318Updated 3 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆20Updated last month
- Complex beam PDEs are solved using physics informed neural networks☆12Updated last year
- Reduced-order Variational Mode Decomposition (RVMD)☆27Updated 5 months ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆40Updated last month
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Frequency Domain Decomposition (FDD)☆10Updated 5 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆24Updated 2 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- ☆12Updated last year