Random Weight Neural Networks
Overview
Creation, estimation, and prediction of random weight neural networks (RWNN), Schmidt et al. (1992) doi:10.1109/ICPR.1992.201708, including popular variants like extreme learning machines, Huang et al. (2006) doi:10.1016/j.neucom.2005.12.126, sparse RWNN, Zhang et al. (2019) doi:10.1016/j.neunet.2019.01.007, and deep RWNN, Henríquez et al. (2018) doi:10.1109/IJCNN.2018.8489703. It further allows for the creation of ensemble RWNNs like bagging RWNN, Sui et al. (2021) doi:10.1109/ECCE47101.2021.9595113, boosting RWNN, stacking RWNN, and ensemble deep RWNN, Shi et al. (2021) doi:10.1016/j.patcog.2021.107978.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-05-12
- WARNING12 OK, 1 WARNING2026-05-11
- OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 15 (1 internal)includes a package overview page
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 78%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 53%
Downloads
Dependencies
Installing RWNN adds 5 packages (5 with compiled code, 4.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, randtoolbox 1.4 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.4Latest2024-09-03 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-09-03
- Total releases
- 1 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 82 KB / 1 file
- Download size
- 121 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RWNN")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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