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Volumn 268, Issue , 2014, Pages 429-435

Ash content prediction of coarse coal by image analysis and GA-SVM

Author keywords

Ash content; Coarse coal; GA; Image analysis; SVM

Indexed keywords

COAL; COAL INDUSTRY; FORECASTING; GALLIUM; GENETIC ALGORITHMS; IMAGE SEGMENTATION; PARTICLE SIZE ANALYSIS; PREDICTIVE ANALYTICS;

EID: 84908395640     PISSN: 00325910     EISSN: 1873328X     Source Type: Journal    
DOI: 10.1016/j.powtec.2014.08.044     Document Type: Article
Times cited : (62)

References (28)
  • 1
    • 33746530055 scopus 로고    scopus 로고
    • An improved estimation of size distribution from particle profile measurements
    • Al-Thyabat S., Miles N.J. An improved estimation of size distribution from particle profile measurements. Powder Technol. 2006, 166:152-160.
    • (2006) Powder Technol. , vol.166 , pp. 152-160
    • Al-Thyabat, S.1    Miles, N.J.2
  • 2
    • 0023996620 scopus 로고
    • Automatic image analysis for mineral beneficiation
    • Petruk W. Automatic image analysis for mineral beneficiation. J. Met. 1988, 40:29-31.
    • (1988) J. Met. , vol.40 , pp. 29-31
    • Petruk, W.1
  • 3
    • 84908414025 scopus 로고
    • Automatic image analysis to determine mineral behaviour during mineral beneficiation, process mineralogy VIII
    • D.J.T. Carson, A.H. Vassiliou (Eds.)
    • Petruk W. Automatic image analysis to determine mineral behaviour during mineral beneficiation, process mineralogy VIII. The Minerals, Metals & Materials Society 1988, 347-357. D.J.T. Carson, A.H. Vassiliou (Eds.).
    • (1988) The Minerals, Metals & Materials Society , pp. 347-357
    • Petruk, W.1
  • 8
    • 58049178913 scopus 로고    scopus 로고
    • Application of numerical image analysis to process diagnosis and physical parameter measurement in mineral processes - part I: flotation control based on froth textural characteristics
    • Bartolacci G., Pelletier P., Tessier J., Duchesne C., Bossé P.-A., Fournier J. Application of numerical image analysis to process diagnosis and physical parameter measurement in mineral processes - part I: flotation control based on froth textural characteristics. Centenary of Flotation Symposium, Brisbane, Queensland 2005, 73-84.
    • (2005) Centenary of Flotation Symposium, Brisbane, Queensland , pp. 73-84
    • Bartolacci, G.1    Pelletier, P.2    Tessier, J.3    Duchesne, C.4    Bossé, P.-A.5    Fournier, J.6
  • 10
    • 0031275295 scopus 로고    scopus 로고
    • Relationship between surface froth features and process conditions in the batch flotation of a sulphide ore
    • Aldrich C., Moolman D.W., Bunkell S.J., Harris M.C., Theron D.A. Relationship between surface froth features and process conditions in the batch flotation of a sulphide ore. Miner. Eng. 1997, 10:1207-1218.
    • (1997) Miner. Eng. , vol.10 , pp. 1207-1218
    • Aldrich, C.1    Moolman, D.W.2    Bunkell, S.J.3    Harris, M.C.4    Theron, D.A.5
  • 11
    • 0023996620 scopus 로고
    • Automatic image analysis for mineral beneficiation
    • Petruk W. Automatic image analysis for mineral beneficiation. JOM J. Miner. Met. Mater. Soc. 1988, 40:29-31.
    • (1988) JOM J. Miner. Met. Mater. Soc. , vol.40 , pp. 29-31
    • Petruk, W.1
  • 12
    • 80055019367 scopus 로고    scopus 로고
    • Ore grade estimation by feature selection and voting using boundary detection in digital image analysis
    • Perez C.A., Estevez P.A., Vera P.A., et al. Ore grade estimation by feature selection and voting using boundary detection in digital image analysis. Int. J. Miner. Process. 2011, 101:28-36.
    • (2011) Int. J. Miner. Process. , vol.101 , pp. 28-36
    • Perez, C.A.1    Estevez, P.A.2    Vera, P.A.3
  • 14
    • 33845630693 scopus 로고    scopus 로고
    • Application of image processing in mineral industry: a case study of ferruginous manganese ores
    • Singh V., Rao S.M. Application of image processing in mineral industry: a case study of ferruginous manganese ores. Miner. Process. Extr. Metall. 2006, 115:155-160.
    • (2006) Miner. Process. Extr. Metall. , vol.115 , pp. 155-160
    • Singh, V.1    Rao, S.M.2
  • 15
    • 77952885518 scopus 로고    scopus 로고
    • Ore grade prediction using a genetic algorithm and clustering based ensemble neural network model
    • Chatterjee S., Bandopadhyay S., Machuca D. Ore grade prediction using a genetic algorithm and clustering based ensemble neural network model. Math. Geosci. 2010, 42:309-326.
    • (2010) Math. Geosci. , vol.42 , pp. 309-326
    • Chatterjee, S.1    Bandopadhyay, S.2    Machuca, D.3
  • 16
    • 77953289746 scopus 로고    scopus 로고
    • Image-based quality monitoring system of limestone ore grades
    • Chatterjee S., Bhattacherjee A., Samanta B., Pal S.K. Image-based quality monitoring system of limestone ore grades. Comput. Ind. 2010, 61:391-408.
    • (2010) Comput. Ind. , vol.61 , pp. 391-408
    • Chatterjee, S.1    Bhattacherjee, A.2    Samanta, B.3    Pal, S.K.4
  • 17
    • 34548534767 scopus 로고    scopus 로고
    • A machine vision approach to on-line estimation of run-of-mine ore composition on conveyor belts
    • Tessier J., Duchesne C., Bartolacci G. A machine vision approach to on-line estimation of run-of-mine ore composition on conveyor belts. Miner. Eng. 2007, 20:1129-1144.
    • (2007) Miner. Eng. , vol.20 , pp. 1129-1144
    • Tessier, J.1    Duchesne, C.2    Bartolacci, G.3
  • 18
    • 84882608415 scopus 로고    scopus 로고
    • Multi-scale image segmentation for coal piles on belt based on Hessian matrix
    • Zhang Z.L., Yang J.G., Su X., Ding L., Wang Y. Multi-scale image segmentation for coal piles on belt based on Hessian matrix. Particuology 2013, 11:549-555.
    • (2013) Particuology , vol.11 , pp. 549-555
    • Zhang, Z.L.1    Yang, J.G.2    Su, X.3    Ding, L.4    Wang, Y.5
  • 20
    • 80055019367 scopus 로고    scopus 로고
    • Ore grade estimation by feature selection and voting using boundary detection in digital image analysis
    • Claudio A., Pablo A., Estévez A. Ore grade estimation by feature selection and voting using boundary detection in digital image analysis. Int. J. Miner. Process. 2011, 101:28-36.
    • (2011) Int. J. Miner. Process. , vol.101 , pp. 28-36
    • Claudio, A.1    Pablo, A.2    Estévez, A.3
  • 21
    • 34548534767 scopus 로고    scopus 로고
    • A machine vision approach to on-line estimation of run-of-mine ore composition on conveyor belts
    • Jayson T., Carl D., Gianni B. A machine vision approach to on-line estimation of run-of-mine ore composition on conveyor belts. Miner. Eng. 2007, 20:1129-1144.
    • (2007) Miner. Eng. , vol.20 , pp. 1129-1144
    • Jayson, T.1    Carl, D.2    Gianni, B.3
  • 22
    • 79959345654 scopus 로고    scopus 로고
    • The research of recognition on oceanic internal waves based on gray gradient co-occurrence matrix and BP neural network
    • Chen F., Jiang X., Jiang Z. The research of recognition on oceanic internal waves based on gray gradient co-occurrence matrix and BP neural network. Photonics and Optoelectronics (SOPO) 2011, 1-4.
    • (2011) Photonics and Optoelectronics (SOPO) , pp. 1-4
    • Chen, F.1    Jiang, X.2    Jiang, Z.3
  • 27
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • Hsu C.W., Lin C.J. A comparison of methods for multi-class support vector machines. IEEE Trans. Neural Netw. 2002, 13(2):415-425.
    • (2002) IEEE Trans. Neural Netw. , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 28
    • 34548379115 scopus 로고    scopus 로고
    • ESVM: evolutionary support vector machine for automatic feature selection and classification of microarray data
    • Huang H.L., Chang F.L. ESVM: evolutionary support vector machine for automatic feature selection and classification of microarray data. Biosystems 2007, 90(2):516-528.
    • (2007) Biosystems , vol.90 , Issue.2 , pp. 516-528
    • Huang, H.L.1    Chang, F.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.