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Perceptron

Turkish equivalent: PerceptronDomain: Machine Learning

The perceptron is an early artificial-neuron model that converts a weighted linear combination of inputs into a classification through a threshold or activation.

Definition

The perceptron is an early artificial-neuron model that converts a weighted linear combination of inputs into a classification through a threshold or activation.

Technical Context

A single-layer perceptron is limited to linearly separable problems. Its historical importance lies in making learnable weights central to connectionist AI.

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Related concepts

Machine Learning

Related technical publications

Publications whose title or summary directly references this concept.

Artificial Neural Networks and Learning Models

Comprehensive neural-network notes spanning perceptrons, multilayer networks and backpropagation through LVQ, ART, Elman and other model families, with later technical updates clearly separated.