Neural Network Perceptron

Simulates a neural network Perceptron

This program makes the simulation of a neural network Perceptron.

The Perceptron is a type of artificial neural network developed in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt. It can be seen as the simplest type of neural feedforward network: a linear classifier.

This program simulates the logic gates OR, AND, NAND, NOR, and XOR.

Notice in the simulation that the XOR problem is not solved.