Crow Tutorial1: Neural Sensing and Control in Grasshopper

Supervised learning is a branch of machine learning in which a mapping function is programmed into a neural network by exposing examples to the network (training).
This tutorial shows how to use the plug in Crow to classify certain environmental states (based on sensor data) and relate them to a parametric model, hence a neural network classifies sensor states and maps them to respective parametric outputs.

All the files can be found here:
https://github.com/HeinzBenjamin/Crow/tree/master/Study%20Material/Supervised%20Learning/Sensor_classification

...and here:
http://www.food4rhino.com/app/crow-artificial-neural-networks