diff --git a/README.md b/README.md index 066f9334bf2eb86d90c1ed429db375c7b72e934b..d5525184c2aeb617579a24b0e606f3896c7384cd 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ This repository contains data and code to generate results from the paper _Residual Selection for Consistency Based Diagnosis Using Machine Learning Models_ by Erik Frisk and Mattias Krysander, Department of Electrical Engineering, Linköping University, Sweden -presented at Safeprocess-2018, Warszaw, Poland. +presented at Safeprocess-2018, Warszaw, Poland. You are welcome to use any code or data from this repository in your research, but please cite our paper. The repository includes code in Matlab and Python. Note that the generated plots are not identical to the results in the paper where a specific Matlab implementation of the machine learning algorithms were used. However, the methodology is the same and the results are similar.