<?xml version="1.0" encoding="utf-8"?><metadata xmlns:dc="http://purl.org/dc/elements/1.1/"  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/"><dc:title xml:lang="en">artificial neural networks</dc:title><dc:identifier>http://AATesaurus.cultura.gencat.cat/aat/getty_en?tema=31361827</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="en">Getty Institute</dc:publisher><dcterms:created>2026-03-30 20:37:37</dcterms:created><dcterms:isPartOf xsi:type="dcterms:URI">http://AATesaurus.cultura.gencat.cat/aat/getty_en</dcterms:isPartOf><dcterms:isPartOf xml:lang="en">Tesaurus d&apos;Art i Arquitectura</dcterms:isPartOf><dc:format>text/html</dc:format> <dcterms:alternative xml:lang="en">artificial neural network</dcterms:alternative> <dcterms:alternative xml:lang="en">network, artificial neural</dcterms:alternative> <dc:description xml:lang="en"><![CDATA[ Refers to a computational model used for machine learning that is inspired by the operations of biological neural networks. Artificial neural networks do not store and process information as conventional digital computers do. Their operation is based  instead on the notion of connection as forged by signals transmitted between nodes, feeding information throughout the network. Such networks can be trained by example in cognitive tasks such as pattern recognition.  ]]></dc:description></metadata>