nickw1999/elm

An extreme learning machine (ELM) is used to detect heavy drinking episodes based on data from Killian (2019).

ELM

This script contains a function for an extreme learning machine. It is based on the paper by Huang and Siew (2004) and the script is based on Gara (2020). The following features are added to Gara's script: *Activation functions ((leaky)ReLu, sine and sigmoid) *bootstrap The data is from a paper by Killian (2019) and can be downloaded at the link below. Further information can be found in the pdf of my thesis.

References: Gara, G.P. (2020). https://github.com/glenngara/tutorials Huang, G., Q. Zhu, and C. Siew (2004). “Extreme learning machine: a newlearning scheme of feedforward neural networks”. Killian, J.A. et al. (2019). “Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data”. https://archive.ics.uci.edu/ml/datasets/Bar+Crawl%3A+Detecting+Heavy+Drinking