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This repository contains the code and dataset for the paper "Data-Driven Modeling of Three-Phase IGBT Two-Level Inverter for Electrical Drives using ANNs". The project employs MATLAB to develop and train Artificial Neural Networks (ANNs) to model a three-phase IGBT two-level inverter for electrical drives.
This repository contains Jupyter notebooks from my learning journey with Physics-Informed Neural Networks (PINNs). These are not complete projects but serve as educational resources to explore core and intermediate concepts in applying neural networks to solve partial differential equations (PDEs).