Package: metANN
Title: Metaheuristic and Gradient-Based Optimization for Neural Network
        Training and Continuous Problems
Version: 0.1.0
Authors@R: c(
    person(given = "Burak",
           family = "Dilber",
           email = "burakdilber91@gmail.com",
           role = c("aut", "cre", "cph")),
    person(given = "A. Fırat",
           family = "Özdemir",
           role = c("aut", "ths"))
    )
Description: Provides tools for general-purpose continuous optimization
        and feed-forward artificial neural network training using
        metaheuristic and gradient-based optimization algorithms. The
        package supports benchmark function optimization, regression,
        binary classification, and multi-class classification with
        multilayer perceptrons. The package implements several
        optimization methods, including particle swarm optimization
        Kennedy and Eberhart (1995) <doi:10.1109/ICNN.1995.488968>,
        differential evolution Storn and Price (1997)
        <doi:10.1023/A:1008202821328>, grey wolf optimizer Mirjalili et
        al. (2014) <doi:10.1016/j.advengsoft.2013.12.007>, secretary
        bird optimization Fu et al. (2024)
        <doi:10.1007/s10462-024-10729-y>, and Adam Kingma and Ba (2015)
        <doi:10.48550/arXiv.1412.6980>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
URL: https://github.com/burakdilber/metANN
BugReports: https://github.com/burakdilber/metANN/issues
Repository: https://burakdilber.r-universe.dev
Date/Publication: 2026-05-11 19:24:34 UTC
RemoteUrl: https://github.com/burakdilber/metann
RemoteRef: HEAD
RemoteSha: 9fa689ff6ec12805ee5c24951e8b1bfed6030a4a
NeedsCompilation: no
Packaged: 2026-10-13 08:55:15 UTC; root
Author: Burak Dilber [aut, cre, cph],
  A. Fırat Özdemir [aut, ths]
Maintainer: Burak Dilber <burakdilber91@gmail.com>