Using Neural Networks in the Process of Mixing Heterogeneous Granular Materials
Year: 2011
Type: article
Abstract: The article presents an attempt based on experimental data to employ neural net- work for predicting intermixing ratios for loose materials in a drum mixer. Obtained predicted research results were compared to empirical data using the Pearson's test. Obtained correla- tion coefficient value is 96%, and proves good data matching.
Authors: Alicja Kolasa-Więcek, Jolanta Królczyk
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2111776423