**Artificial Neural Networks** (**ANN**) are the supervised learning techniques whose logic is similar to biological neural systems. A simple ANN technique is the single-layer perceptron and it is a classification technique estimating a binary attribute whose value can be 0 or 1. The perceptron works like a neuron in the sense that it sums the impact of all the inputs and outputs to 1 if the sum is above a defined threshold. The model is based on the following parameters:

- A weight for each feature, defining its impact
- A threshold above which the estimated output is 1

Starting from the features, the model estimates the attribute through these steps

- Compute the output through a linear regression: multiply each feature by its weight and sum all of ...

Start Free Trial

No credit card required