Wiktionary
n. 1 an element, analogous to a neuron, of an artificial neural network consisting of one or more layers of artificial neurons 2 a network of such elements.
Wikipedia
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers: functions that can decide whether an input (represented by a vector of numbers) belongs to one class or another. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector. The algorithm allows for online learning, in that it processes elements in the training set one at a time.
The perceptron algorithm dates back to the late 1950s; its first implementation, in custom hardware, was one of the first artificial neural networks to be produced.
Usage examples of "perceptron".
Hence the failure of all the previous predictions about just when the Al people would come up with a really mind-like computer, regarded by the Wiener-enthusiasts of the early fifties as certain to arrive by the 1960s, then postponed to the seventies, eighties or even the bimillennium as time went by and models and programs from Perceptrons onwards came and vanished.
Their weapon was not the dagger but the mightier pen, from which came a book, Perceptrons -purporting to prove that neural nets could never fill their promise of building models of mind: only computer programs could do this.
It grew stifling, especially when the perceptron tendrils entered both nostrils for the final and deepest phase of imprinting -- the phase called "breath of life.