ISBN: | 978-5-5089-0762-4 |
High Quality Content by WIKIPEDIA articles! In computational geometry, the perceptron is an algorithm for supervised classification of an input into one of two possible outputs. 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 describing a given input. The learning algorithm for perceptrons is an online algorithm, in that it processes elements in the training set one at a time.