ANN is a family of models inspired from biological neural networks (the human brain) that, starting from the mechanisms regulating natural neural networks, plan to simulate human thinking. They are used to estimate or approximate functions that may depend on a large number of inputs, many of which are often unknown. ANNs are generally presented as interconnected neuron systems among which an exchange of messages takes place. Each connection has a related weight; the value of the weight is adjustable based on experience, and this makes neural networks an instrument adaptable to the various types of input and having the ability to learn.
ANNs define the neuron as a central processing unit, which performs a mathematical operation to generate one output from a set of inputs. The output of a neuron is a function of the weighted sum of the inputs plus the...
