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simple genetic algorithm neural network

Simple object oriented neural network that uses a genetic algorithm to train. Note that this is incredibly inefficient and is meant to show the concepts of a neural network. Implementation of a usable GANN would require extensive rewrite and optimization to make use of arrays and array operations rather than this approach.

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simple-ga-neural-network's Issues

Add Sonarcube

Before I get in too deep I want to add Sonarcube checks to my builds to keep things shiny.

Add Game Trainer

Currently the scoring system is hard coded into the system. This is fine for classification jobs where the desired result is known, for example the iris set. However it is not suitable for more organic training such as would be required to play a game.

Add a second feature that would allow simple integration into a game which would involve multiple inputs to the same neural network for a given number of turns as well as an interface to implements a scoring system.

  • Rename Trainer to ClassificationTrainer
  • Add GameTrainer
  • Add Interface to allow for external systems to keep score

Add Faster Networking

Add a NeuralNetwork which represents all it's perceptrons and their features as arrays rather than objects to help speed up things.

Keep the Neural network single threaded to avoid issues for library users.

Change the NeuralNetwork class to an interface and move the code currently in it to ObjectOrientedNeuralNetwork. It's ugly but descriptive.

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