Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines
Functional link-based neural network models were applied to predict opencast mining machineries noise. The paper analyzes the prediction capabilities of functional link neural network based noise prediction models vis-à-vis existing statistical models. In order to find the actual noise status in ope...
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2011/831261 |
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| author | Santosh Kumar Nanda Debi Prasad Tripathy |
| author_facet | Santosh Kumar Nanda Debi Prasad Tripathy |
| author_sort | Santosh Kumar Nanda |
| collection | DOAJ |
| description | Functional link-based neural network models were applied to predict opencast mining machineries noise. The paper analyzes the prediction capabilities of functional link neural network based noise prediction models vis-à-vis existing statistical models. In order to find the actual noise status in opencast mines, some of the popular noise prediction models, for example, ISO-9613-2, CONCAWE, VDI, and ENM, have been applied in mining and allied industries to predict the machineries noise by considering various attenuation factors. Functional link artificial neural network (FLANN), polynomial perceptron network (PPN), and Legendre neural network (LeNN) were used to predict the machinery noise in opencast mines. The case study is based on data collected from an opencast coal mine of Orissa, India. From the present investigations, it could be concluded that the FLANN model give better noise prediction than the PPN and LeNN model. |
| format | Article |
| id | doaj-art-2eebb46838c04e7989452136b4f9d08e |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-2eebb46838c04e7989452136b4f9d08e2025-02-03T07:25:54ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2011-01-01201110.1155/2011/831261831261Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast MinesSantosh Kumar Nanda0Debi Prasad Tripathy1Department of Computer Science and Engineering, Eastern Academy of Science and Technology, Bhubaneswar, Orissa 754001, IndiaDepartment of Mining Engineering, National Institute of Technology, Rourkela, Orissa 769008, IndiaFunctional link-based neural network models were applied to predict opencast mining machineries noise. The paper analyzes the prediction capabilities of functional link neural network based noise prediction models vis-à-vis existing statistical models. In order to find the actual noise status in opencast mines, some of the popular noise prediction models, for example, ISO-9613-2, CONCAWE, VDI, and ENM, have been applied in mining and allied industries to predict the machineries noise by considering various attenuation factors. Functional link artificial neural network (FLANN), polynomial perceptron network (PPN), and Legendre neural network (LeNN) were used to predict the machinery noise in opencast mines. The case study is based on data collected from an opencast coal mine of Orissa, India. From the present investigations, it could be concluded that the FLANN model give better noise prediction than the PPN and LeNN model.http://dx.doi.org/10.1155/2011/831261 |
| spellingShingle | Santosh Kumar Nanda Debi Prasad Tripathy Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines Advances in Fuzzy Systems |
| title | Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines |
| title_full | Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines |
| title_fullStr | Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines |
| title_full_unstemmed | Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines |
| title_short | Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines |
| title_sort | application of functional link artificial neural network for prediction of machinery noise in opencast mines |
| url | http://dx.doi.org/10.1155/2011/831261 |
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