RWNN
Random Weight Neural Networks
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.
- Version0.4
- R version≥ 4.1.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release09/03/2024
Team
Søren B. Vilsen
MaintainerShow author details
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