metANN
0.1.0Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-166 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 17%
Downloads
Repository
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/burakdilber/metann on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-05-16 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-05-16
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("metANN")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.