Similar to the biological one, the artificial neuron consists of the following:
- One or more incoming connections, with the task of collecting numerical signals from other neurons; each connection is assigned a weight that will be used to consider each signal sent
- One or more output connections that carry the signal for the other neurons
- An activation function determines the numerical value of the output signal, on the basis of the signals received from the input connections with other neurons, and suitably collected from the weights associated with each picked-up signal and the activation threshold of the neuron itself
The following figure represents the artificial neuron:
Figure 4: Artificial neuron model
The output, ...