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    Neural Network Theory

    Artificial neural network

    Artificial neural network

    An artificial neural network (ANN) is a computational model composed of interconnected nodes (“neurons”) that learn patterns from data by adjusting connection weights. Originating in mid‑20th‑century attempts to formalize cognition, ANNs underpin modern machine learning and deep learning methods used in vision, language, speech, and decision-making.