Skip to main navigation Skip to search Skip to main content

Approximation of a coal mass by an ultrasonic sensor using regression rules

  • Institute of Innovative Technologies EMAG
  • Central Mining Institute

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A method of approximation the mass of coal moving on a conveyor belt under the ultrasonic sensor that measures a height of coal pile is described in the paper. A process of defining a set of variables that affects the approximated coal mass is presented. A model of multiple regression and an algorithm of regression rules induction based on the M5 algorithm have been exploited to relate momentary values of the coal pile with the mass of moving coal.

Original languageEnglish
Title of host publicationPattern Recognition and Machine Intelligence - 4th International Conference, PReMI 2011, Proceedings
Pages345-350
Number of pages6
DOIs
Publication statusPublished - 2011
Event4th International Conference on Pattern Recognition and Machine Intelligence, PReMI-2011 - Moscow, Russian Federation
Duration: 27 Jun 20111 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6744 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Pattern Recognition and Machine Intelligence, PReMI-2011
Country/TerritoryRussian Federation
CityMoscow
Period27/06/111/07/11

Keywords

  • applications of data mining
  • coal weight approximation
  • regression rules

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Approximation of a coal mass by an ultrasonic sensor using regression rules'. Together they form a unique fingerprint.

Cite this