Churn prediction with Artificial Neural Networks.

An artificial neural network is a computing system that is inspired by biological neural networks that constitute the human brain. ANNs are based on a collection of nodes or units which are are called neurons and they model after the neurons in a biological brain. An artificial neuron receives a signal and then processes it and pass the signal to other neurons connected to it. The signal at the connection is a real number and the output from the neuron is computed by some non-linear function of the sum of the inputs. The inputs are accompanied by weights assigned respectively, the weight of an input increases or decreases the strength of the signal at connection.