Artificial neural network. An ensemble of simple processing units or neurons are connected in parallel and cascaded to produce a neural network capable of modeling highly complex, nonlinear, multidimensional relationships. For each neuron, output y is produced by an affine transformation of inputs x_i by means of weights w_i and bias b, followed by the application of a nonlinear activation function f.