{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/kb-2026-00270",
  "headline": "Recurrent Neural Networks (RNN)",
  "description": "RNNs process sequential data (text, time series, speech) by maintaining a hidden state that captures information from previous steps. Unlike feedforward networks, RNNs have recurrent connections — output at time t depends on input at t and hidden state from t-1.",
  "dateCreated": "2026-05-22T14:59:47.502Z",
  "dateModified": "2026-05-22T14:59:47.502Z",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "human_only",
  "citation": []
}