publication . Bachelor thesis . 2016

Predicting the concentration of residual methanol in industrial formalin using machine learning

Heidkamp, William;
Open Access English
  • Published: 01 Jan 2016
  • Publisher: Karlstads universitet, Institutionen för ingenjörsvetenskap och fysik
  • Country: Sweden
In this thesis, a machine learning approach was used to develop a predictive model for residual methanol concentration in industrial formalin produced at the Akzo Nobel factory in Kristinehamn, Sweden. The MATLABTM computational environment supplemented with the Statistics and Machine LearningTM toolbox from the MathWorks were used to test various machine learning algorithms on the formalin production data from Akzo Nobel. As a result, the Gaussian Process Regression algorithm was found to provide the best results and was used to create the predictive model. The model was compiled to a stand-alone application with a graphical user interface using the MATLAB Comp...
free text keywords: Machine learning, Predictive modeling, Formalin, MATLAB
Related Organizations
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue