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University Project for "Intelligent Systems" course (MSc Computer Engineering @ University of Pisa). Design and implementation of several artificial intelligences (MLP, RBFN, FIS, CNN, RNN) on a dataset composed on biophysical signals

License: GNU General Public License v3.0

MATLAB 100.00%
convolutional-neural-network convolutional-neural-networks ecg-signal intelligent-systems matlab multi-perceptron neural-network neural-networks radial-basis-function recurrent-neural-networks unipi unipisa university-of-pisa

intelligent-systems-project's Introduction

Intelligent Systems Project

University project for the Intelligent Systems course (MSc Computer Engineering) by Fabrizio Lanzillo, Federico Montini e Riccardo Sagramoni.

Design and implementation of several artificial intelligences (MLP, RBFN, FIS, CNN, RNN) on a dataset composed of biophysical signals.

Developed with MATLAB (2022a version).

How to run

  • Download the repository and the dataset compressed folder.
  • Unpack the dataset and put the csv files in a folder named dataset at the root level of the repository.
  • Open MATLAB in the src folder and execute the set_path.m script.
  • Warning!: Execute all the MATLAB scripts inside the subfolders from the src folder (otherwise all the paths are broken).

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