{ "_id": "6a4c919507c3fd5c3260dc55", "Package": "hann", "Version": "1.1-3", "Date": "2025-12-07", "Title": "Hopfield Artificial Neural Networks", "Authors@R": "c(person(\"Emmanuel\", \"Paradis\", role = c(\"aut\", \"cre\", \"cph\"), email = \"Emmanuel.Paradis@ird.fr\", comment = c(ORCID = \"0000-0003-3092-2199\")))", "Description": "Builds and optimizes Hopfield artificial neural networks\n(Hopfield, 1982, ). One-layer and\nthree-layer models are implemented. The energy of the Hopfield\nnetwork is minimized with formula from Krotov and Hopfield\n(2016, ). Optimization\n(supervised learning) is done through a gradient-based method.\nClassification is done with S3 methods predict().\nParallelization with 'OpenMP' is used if available during\ncompilation.", "URL": "https://github.com/emmanuelparadis/hann", "BugReports": "https://github.com/emmanuelparadis/hann/issues", "License": "GPL-3", "Repository": "https://emmanuelparadis.r-universe.dev", "Date/Publication": "2026-01-06 20:03:44 UTC", "RemoteUrl": "https://github.com/emmanuelparadis/hann", "RemoteRef": "HEAD", "RemoteSha": "59251ecb44dfa261195e6e7926f989dd4553ddad", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-05 09:54:38 UTC", "User": "root" }, "Author": "Emmanuel Paradis [aut, cre, cph] (ORCID:\n)", "Maintainer": "Emmanuel Paradis ", "_user": "emmanuelparadis", "_type": "src", "_file": "hann_1.1-3.tar.gz", "_fileid": "https://r2.ropensci.org/74232d155e72c24a3d7063627efd463eeeee946f1bb5e586195ad935c4bc5f98", "_filesize": 312138, "_sha256": 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