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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.

Related Article

Direct source: The primary paper or official specification for Perceptron is linked here for verification.

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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

Historical foundations, neuron models, perceptrons and MLPs; backpropagation, Gauss–Newton, Levenberg–Marquardt and RLS training; LVQ, ART, RNNs, CNNs, Transformers, generative, graph and tensor networks; system identification, compression, and rigorous evaluation.