Artificial Neural Networks for Arduino
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README.md

#Intro

Neurona is an Arduino Library which allows boards to feed Artificial Neural Network (ANN) structures in order to perform tasks such as pattern recognition (classification), non-linear regression, function approximation and time-series prediction from the implemented architectures:

  • Multi-Layer Perceptron (MLP) - training
  • Perceptron (to be implemented)
  • Learning Vector Quantization (LVQ-1 - to be implemented)

Check also the documentation and MorettiCB's blog (or simply click the training link which follows an architecture) to download and run the training mode of the aforementioned archictectures, so its outputs (the adjusted weights) can be used along with a specific network topology in operation mode.

Download and Installation

If you want to install Neurona, you can either search for Neurona in Arduino's Library Manager or download by clicking the button below:

Download Neurona >

Click here if you need aditional help in the installation step.

##Compatibility

The following list enumerates the boards which Neurona have been tested.

  • Arduino Uno
  • Arduino Mega

If your board is not here, it simply means it was not tested yet. You can also test Neurona in your board and send us a feedback through an issue :)

License

Neurona is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details.