메뉴 건너뛰기




Volumn 15, Issue 4, 2008, Pages 367-374

Prediction of yttrium, lanthanum, cerium, and neodymium leaching recovery from apatite concentrate using artificial neural networks

Author keywords

apatite; leaching; neural networks; rare earth elements; recovery

Indexed keywords

APATITE; ATOMIC SPECTROSCOPY; BACKPROPAGATION; CERIUM; CERIUM COMPOUNDS; COMPUTER SYSTEM RECOVERY; EMISSION SPECTROSCOPY; INDUCTIVELY COUPLED PLASMA; INDUCTIVELY COUPLED PLASMA MASS SPECTROMETRY; LANTHANUM; LANTHANUM ALLOYS; LEACHING; MASS SPECTROMETERS; MASS SPECTROMETRY; METROPOLITAN AREA NETWORKS; MOLECULAR SPECTROSCOPY; NEODYMIUM; PHOSPHATE MINERALS; PHOTORESISTS; PLASMAS; RARE EARTH ELEMENTS; RECOVERY; VEGETATION; YTTRIUM; YTTRIUM ALLOYS;

EID: 58149288237     PISSN: 10058850     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1005-8850(08)60070-5     Document Type: Article
Times cited : (32)

References (32)
  • 4
    • 0034159956 scopus 로고    scopus 로고
    • Metal bioleaching prediction in continuous processing of sewage with Thiobacillus ferrooxidans using neural networks
    • Laberge C., Cluis D., and Mercier G. Metal bioleaching prediction in continuous processing of sewage with Thiobacillus ferrooxidans using neural networks. Water. Res. 34 4 (2000) 1145
    • (2000) Water. Res. , vol.34 , Issue.4 , pp. 1145
    • Laberge, C.1    Cluis, D.2    Mercier, G.3
  • 5
    • 35348924831 scopus 로고    scopus 로고
    • Prediction of microbial desulfurization of coal using artificial neural networks
    • Jorjani E., Chehreh Chelgani S., and Mesroghli Sh. Prediction of microbial desulfurization of coal using artificial neural networks. Miner. Eng. 20 (2007) 1285
    • (2007) Miner. Eng. , vol.20 , pp. 1285
    • Jorjani, E.1    Chehreh Chelgani, S.2    Mesroghli, Sh.3
  • 7
    • 0036967791 scopus 로고    scopus 로고
    • Application of neural networks to predict locked cycle flotation test results
    • Cilek E.C. Application of neural networks to predict locked cycle flotation test results. Miner. Eng. 15 (2002) 1095
    • (2002) Miner. Eng. , vol.15 , pp. 1095
    • Cilek, E.C.1
  • 8
    • 0030290192 scopus 로고    scopus 로고
    • Modelling of rare earth solvent extraction with artificial neural nets
    • Giles A.E., Aldrich C., and van J.S.J. Modelling of rare earth solvent extraction with artificial neural nets. Hydrometallurgy 43 1-3 (1996) 241
    • (1996) Hydrometallurgy , vol.43 , Issue.1-3 , pp. 241
    • Giles, A.E.1    Aldrich, C.2    van, J.S.J.3
  • 11
    • 31144477000 scopus 로고    scopus 로고
    • Rare earth minerals and resources in the world
    • Kanazawa Y., and Kamitani M. Rare earth minerals and resources in the world. J. Alloys Compd. 408 (2006) 1339
    • (2006) J. Alloys Compd. , vol.408 , pp. 1339
    • Kanazawa, Y.1    Kamitani, M.2
  • 14
    • 0021900385 scopus 로고
    • The recovery of the lanthanides from phosphate rock
    • Habashi F. The recovery of the lanthanides from phosphate rock. J. Chem. Technol. Biotechnol 35App (1985) 5
    • (1985) J. Chem. Technol. Biotechnol , vol.35 App , pp. 5
    • Habashi, F.1
  • 16
    • 56449102997 scopus 로고
    • Recovery of rare earths from secondary sources by solvent extraction
    • Society of Chemical Industry, London
    • Judin V.P., and Sund H.E. Recovery of rare earths from secondary sources by solvent extraction. Hydrometallurgy'81 (1981), Society of Chemical Industry, London F4/1
    • (1981) Hydrometallurgy'81
    • Judin, V.P.1    Sund, H.E.2
  • 17
    • 31144473133 scopus 로고    scopus 로고
    • A new hydrometallurgical process for extracting rare earths from apatite using solvent extraction with P350
    • Hongfei L., Fuqiang G., Zhifeng Z., Deqian L., and Zhonghuai W. A new hydrometallurgical process for extracting rare earths from apatite using solvent extraction with P350. J. Alloys Compd 408-412 (2005) 995
    • (2005) J. Alloys Compd , vol.408-412 , pp. 995
    • Hongfei, L.1    Fuqiang, G.2    Zhifeng, Z.3    Deqian, L.4    Zhonghuai, W.5
  • 21
    • 58149288459 scopus 로고    scopus 로고
    • E. T.M.J. Martynowicz, Impurity Uptake in Calcium Sulfate during Phosphoric Acid Processing [Dissertation], Delft University of Technology, 1994.
    • E. T.M.J. Martynowicz, Impurity Uptake in Calcium Sulfate during Phosphoric Acid Processing [Dissertation], Delft University of Technology, 1994.
  • 23
    • 0034324899 scopus 로고    scopus 로고
    • Extraction of lanthanides from the phosphoric acid production process to gain a purified gypsum product and a valuable lanthanide by-product
    • Koopman C., and Witkamp G.J. Extraction of lanthanides from the phosphoric acid production process to gain a purified gypsum product and a valuable lanthanide by-product. Hydrometallurgy 58 (2000) 51
    • (2000) Hydrometallurgy , vol.58 , pp. 51
    • Koopman, C.1    Witkamp, G.J.2
  • 24
    • 0030143057 scopus 로고    scopus 로고
    • The recovery of rare-earth oxides from a phosphoric acid by-product: Part 1. Leaching of rare-earth values and recovery of a mixed rare-earth oxide by solvent extraction
    • Preston J.S., Cole P.M., Craig W.M., and Feather A.M. The recovery of rare-earth oxides from a phosphoric acid by-product: Part 1. Leaching of rare-earth values and recovery of a mixed rare-earth oxide by solvent extraction. Hydrometallurgy 41 (1996) 1
    • (1996) Hydrometallurgy , vol.41 , pp. 1
    • Preston, J.S.1    Cole, P.M.2    Craig, W.M.3    Feather, A.M.4
  • 26
    • 58149279629 scopus 로고    scopus 로고
    • Hydrometallurgy to solve phosphate processing
    • Habashi F. Hydrometallurgy to solve phosphate processing. Ind. Miner. September (2004) 31
    • (2004) Ind. Miner. , vol.September , pp. 31
    • Habashi, F.1
  • 27
    • 58149277523 scopus 로고    scopus 로고
    • MATLAB, Version 6.5.0, MathWorks Inc., Help Files, 2002.
    • MATLAB, Version 6.5.0, MathWorks Inc., Help Files, 2002.
  • 28
    • 18844432320 scopus 로고    scopus 로고
    • Artificial neural network-based prediction of hydrogen content of coal in power station boilers
    • Yao H.M., Vuthaluru H.B., Tade M.O., and Djukanovic D. Artificial neural network-based prediction of hydrogen content of coal in power station boilers. Fuel 84 (2005) 1535
    • (2005) Fuel , vol.84 , pp. 1535
    • Yao, H.M.1    Vuthaluru, H.B.2    Tade, M.O.3    Djukanovic, D.4
  • 29
    • 58149300020 scopus 로고    scopus 로고
    • I. Arsie, C. Pianese, G. Rizzo, and M. Gambino, Validation of thermodynamic model for spark ignition engines oriented to control applications, [in] Proceedings of 3rd International Conference on Internal Combustion Engines: Experiments and Modeling, Capri, 1997, p.17.
    • I. Arsie, C. Pianese, G. Rizzo, and M. Gambino, Validation of thermodynamic model for spark ignition engines oriented to control applications, [in] Proceedings of 3rd International Conference on Internal Combustion Engines: Experiments and Modeling, Capri, 1997, p.17.
  • 30
    • 0036132055 scopus 로고    scopus 로고
    • Neural network prediction of cetane number and density of diesel fuel from its chemical composition determined by LC and GC-MC
    • Yang H., Ring Z., Briker Y., Mclean N., Friesen W., and Fairbride C. Neural network prediction of cetane number and density of diesel fuel from its chemical composition determined by LC and GC-MC. Fuel 81 (2002) 65
    • (2002) Fuel , vol.81 , pp. 65
    • Yang, H.1    Ring, Z.2    Briker, Y.3    Mclean, N.4    Friesen, W.5    Fairbride, C.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.