NDLI: Application of the PSO-SVM model for coal mine safety assessment

Content Provider	IEEE Xplore Digital Library
Author	Qian Meng Xiaoping Ma Yan Zhou
Copyright Year	2012
Description	Author affiliation: Computer Science and Technology College of Jiangsu, Normal University, Xuzhou, China (Qian Meng) \|\| Safety Engineering College of China University of Mining and Technology, Xuzhou, China (Yan Zhou) \|\| Information and Electrical Engineering School of China, University of Mining and Technology, Xuzhou, China (Xiaoping Ma)
Abstract	Coal mine safety is a complex system, which is controlled by a number of interrelated factors and is difficult to estimate. Due to the various influences, coal mine safety assessment reveals highly nonlinear characteristics. Recently, support vector machine (SVM), with nonlinear mapping capabilities of forecasting, has been successfully employed to solve nonlinear classification problems. However, it is still lack of systematic approaches to determine appropriate parameter combination for a SVM model. This study applies particle swarm optimization (PSO) algorithm to choose the suitable parameter combination for a SVM model. A PSO -SVM model for coal mine safety assessment is developed. Calculating tests show that the PSO-SVM based model makes assessments much more accurate than the neural network (NN) based model does when the samples are limited.
Starting Page	393
Ending Page	397
File Size	299854
Page Count	5
File Format	PDF
ISBN	9781457721304
ISSN	21579563
e-ISBN	9781457721335
DOI	10.1109/ICNC.2012.6234669
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Safety Assessment Mine Safety Predictive models Safety Engineering Educational institutions Safety Coal mining Support Vector Machine Kernel Particle Swarm Optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in