# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "hann" in publications use:' type: software license: GPL-3.0-only title: 'hann: Hopfield Artificial Neural Networks' version: 1.1-3 doi: 10.32614/CRAN.package.hann abstract: Builds and optimizes Hopfield artificial neural networks (Hopfield, 1982, ). One-layer and three-layer models are implemented. The energy of the Hopfield network is minimized with formula from Krotov and Hopfield (2016, ). Optimization (supervised learning) is done through a gradient-based method. Classification is done with S3 methods predict(). Parallelization with 'OpenMP' is used if available during compilation. authors: - family-names: Paradis given-names: Emmanuel email: Emmanuel.Paradis@ird.fr orcid: https://orcid.org/0000-0003-3092-2199 repository: https://emmanuelparadis.r-universe.dev repository-code: https://github.com/emmanuelparadis/hann commit: 59251ecb44dfa261195e6e7926f989dd4553ddad url: https://github.com/emmanuelparadis/hann date-released: '2025-12-07' contact: - family-names: Paradis given-names: Emmanuel email: Emmanuel.Paradis@ird.fr orcid: https://orcid.org/0000-0003-3092-2199