Abstract
Expert systems have proved to be excellent tools for the control of mineral processes. An expert system based on on-line classification of the ore type has been designed and is described in this paper. The neural approach to computation has emerged in recent years for dealing with the sort of problems for which more conventional solutions have proven ineffective. In the study a comparison between the on-line cluster algorithm and the Kohonen feature map for ore type classification is presented. The study was carried out with measurement data from the Outokumpu Hitura mine.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
