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RSS Curriculum Vitae TR

Artificial Neural Network

Turkish equivalent: Yapay Sinir AğıDomain: Machine Learning

An artificial neural network is a parametric computational model that learns mappings from inputs to outputs through weighted connections and nonlinear transformations.

Definition

An artificial neural network is a parametric computational model that learns mappings from inputs to outputs through weighted connections and nonlinear transformations.

Technical Context

Artificial neural networks are not complete replicas of biological neurons. Their engineering behavior depends on representation capacity, loss, optimization, and generalization.

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Machine Learning

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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.