Application of Self Organizing Map (SOM) to model a machining process

Saraee, MH ORCID:, Moosavi, S and Rezapour, S 2011, 'Application of Self Organizing Map (SOM) to model a machining process' , Journal of Manufacturing Technology Management, 22 (6) , pp. 818-830.

[img] PDF - Published Version
Restricted to Repository staff only

Download (642kB) | Request a copy


Purpose: This paper aims to present a practical application of Self Organizing Map (SOM) and decision tree algorithms to model a multi-response machining process and to provide a set of control rules for this process. Design/methodology/approach: SOM is a powerful artificial neural network approach used for analyzing and visualizing high-dimensional data. Wire electrical discharge machining (WEDM) process is a complex and expensive machining process, in which there are a lot of factors having effects on the outputs of the process. In this work, after collecting a dataset based on a series of designed experiments, the paper applied SOM to this dataset in order to analyse the underlying relations between input and output variables as well as interactions between input variables. The results are compared with the results obtained from decision tree algorithm. Findings: Based on the analysis of the results obtained, the paper extracted interrelationships between variables as well as a set of control rules for prediction of the process outputs. The results of the new experiments based on these rules, clearly demonstrate that the paper's predictions are valid, interesting and useful.

Item Type: Article
Themes: Built and Human Environment
Subjects outside of the University Themes
Schools: Schools > No Research Centre
Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Journal of Manufacturing Technology Management
Publisher: Emerald
Refereed: Yes
ISSN: 1741-038X
Related URLs:
Depositing User: Prof. Mo Saraee
Date Deposited: 19 Oct 2011 10:27
Last Modified: 16 Feb 2022 13:05

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)


Downloads per month over past year