The Multilayer Perceptron is one of the main ANN structures in use today. my excuses for those of you awaiting for something about Deep Neural Networks (DNN, as those used in AlphaGo from Google, or CaptionBot from Microsoft), maybe in a later post I will try to extract the main features of some convolutional neural network and test it on a very simple NetLogo model, but I am afraid that we will need too many computational resources to obtain anything of interest with this tool. We will restrict ourselves to the more common and classical ones, the Multilayer Perceptron Network. As a way to continue with AI algorithms implemented in NetLogo, in this post we will see how we can make a simple model to investigate about Artificial Neural Networks (ANN).
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