ONLINE DETERMINATION OF ORE TYPE USING CLUSTER-ANALYSIS AND NEURAL NETWORKS

Citation
S. Laine et al., ONLINE DETERMINATION OF ORE TYPE USING CLUSTER-ANALYSIS AND NEURAL NETWORKS, Minerals engineering, 8(6), 1995, pp. 637-648
Citations number
12
Categorie Soggetti
Engineering, Chemical","Mining & Mineral Processing",Mineralogy
Journal title
ISSN journal
08926875
Volume
8
Issue
6
Year of publication
1995
Pages
637 - 648
Database
ISI
SICI code
0892-6875(1995)8:6<637:ODOOTU>2.0.ZU;2-R
Abstract
Expert systems have proved to be excellent tools for the control of mi neral processes. An expert system based on on-line classification of t he ore type has been designed and is described in. this paper The neur al approach to computation has emerged in recent years for dealing wit h the sort of problems for which more conventional solutions have prov en ineffective. In the study a comparison between the on-line cluster algorithm and the Kohonen feature map for ore type classification is p resented. The study was carried out with measurement data from the Out okumpu Hitura mine.