narx
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Explore the double-descent phenomena in the context of system identification. Companion code to the paper (https://arxiv.org/abs/2012.06341):
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Dec 14, 2020 - Python
Neural Network Lecture Projects.
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Sep 12, 2021 - Jupyter Notebook
Code, figures, animations for a NARX-EFE based agent.
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Jan 25, 2024 - Jupyter Notebook
An active inference agent based on expected free energy minimization with a nonlinear autoregressive exogenous model.
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Sep 16, 2023 - Jupyter Notebook
This repository contains code for energy forecasting using multilayer neural networks (MLPs) with autoregressive (AR) and nonlinear autoregressive exogenous (NARX) approaches. The goal is to predict the next-day electricity consumption for a specific case study, utilizing real dataset from a real-life organization.
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May 22, 2023 - R
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Jun 19, 2023 - R
GUI for System Identification using NARX and NARMAX models
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May 23, 2024 - Python
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
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Apr 14, 2019 - Python
Nonlinear autoregressive exogenous model library. NarxSim ported to U++.
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May 31, 2017 - C++
Performed a nonlinear model identification using both the FROE method with polynomial NARX models and feedforward neural networks.
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Jan 3, 2019 - Jupyter Notebook
Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation
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Dec 15, 2023 - Jupyter Notebook
The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling testing on buses
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Jan 14, 2023 - MATLAB
Level controle in the Facotry IO. Code written in LAD, SCL in TIA Portal
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May 24, 2023
Deep Learning using Neural Network Toolbox + Finance Portfolio Selection with MorningStar
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May 5, 2018 - MATLAB
A python multi-variate time series prediction library working with sklearn
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Nov 10, 2020 - Python
A Python Package For System Identification Using NARMAX Models
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May 17, 2024 - Python
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