An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics

With the development of mine industry, tailings storage facility (TSF), as the important facility of mining, has attracted increasing attention for its safety problems. However, the problems of low accuracy and slow operation rate often occur in current TSF safety evaluation models. This paper estab...

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Main Authors: Sen Tian, Jianhong Chen
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/328902
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author Sen Tian
Jianhong Chen
author_facet Sen Tian
Jianhong Chen
author_sort Sen Tian
collection DOAJ
description With the development of mine industry, tailings storage facility (TSF), as the important facility of mining, has attracted increasing attention for its safety problems. However, the problems of low accuracy and slow operation rate often occur in current TSF safety evaluation models. This paper establishes a reasonable TSF safety evaluation index system and puts forward a new TSF safety evaluation model by combining the theories for the analytic hierarchy process (AHP) and improved back-propagation (BP) neural network algorithm. The varying proportions of cross validation were calculated, demonstrating that this method has better evaluation performance with higher learning efficiency and faster convergence speed and avoids the oscillation in the training process in traditional BP neural network method and other primary neural network methods. The entire analysis shows the combination of the two methods increases the accuracy and reliability of the safety evaluation, and it can be well applied in the TSF safety evaluation.
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publishDate 2014-01-01
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series Journal of Applied Mathematics
spelling doaj-art-6b104e1acb7544819829ec79fdc0429d2025-02-03T01:21:26ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/328902328902An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy MathematicsSen Tian0Jianhong Chen1School of Resources and Safety Engineering, Central South University, Changsha 410083, ChinaSchool of Resources and Safety Engineering, Central South University, Changsha 410083, ChinaWith the development of mine industry, tailings storage facility (TSF), as the important facility of mining, has attracted increasing attention for its safety problems. However, the problems of low accuracy and slow operation rate often occur in current TSF safety evaluation models. This paper establishes a reasonable TSF safety evaluation index system and puts forward a new TSF safety evaluation model by combining the theories for the analytic hierarchy process (AHP) and improved back-propagation (BP) neural network algorithm. The varying proportions of cross validation were calculated, demonstrating that this method has better evaluation performance with higher learning efficiency and faster convergence speed and avoids the oscillation in the training process in traditional BP neural network method and other primary neural network methods. The entire analysis shows the combination of the two methods increases the accuracy and reliability of the safety evaluation, and it can be well applied in the TSF safety evaluation.http://dx.doi.org/10.1155/2014/328902
spellingShingle Sen Tian
Jianhong Chen
An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics
Journal of Applied Mathematics
title An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics
title_full An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics
title_fullStr An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics
title_full_unstemmed An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics
title_short An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics
title_sort evaluation model for tailings storage facilities using improved neural networks and fuzzy mathematics
url http://dx.doi.org/10.1155/2014/328902
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