메뉴 건너뛰기




Volumn 19, Issue 5, 2009, Pages 337-345

A prediction model of occupational manganese exposure based on artificial neural network

Author keywords

Artificial neural network; Manganese; Prediction model

Indexed keywords

MANGANESE; MANGANESE DIOXIDE;

EID: 70350457539     PISSN: 15376516     EISSN: 15376524     Source Type: Journal    
DOI: 10.1080/15376510902918392     Document Type: Article
Times cited : (4)

References (43)
  • 2
    • 0343081006 scopus 로고    scopus 로고
    • Beyond the job exposure matrix (JEM): The task exposure matrix (TEM)
    • Benke G, Sim M, Fritschi L, Aldred G. 2000. Beyond the job exposure matrix (JEM): The task exposure matrix (TEM). Ann Occup Hyg 44:475-482.
    • (2000) Ann Occup Hyg , vol.44 , pp. 475-482
    • Benke, G.1    Sim, M.2    Fritschi, L.3    Aldred, G.4
  • 3
    • 5444238293 scopus 로고    scopus 로고
    • Artificial neural networks and job specific modules to assess occupational exposure
    • Black J, Benke G, Smith K, Fritschi L. 2004. Artificial neural networks and job specific modules to assess occupational exposure. Ann Occup Hyg 48:595-600.
    • (2004) Ann Occup Hyg , vol.48 , pp. 595-600
    • Black, J.1    Benke, G.2    Smith, K.3    Fritschi, L.4
  • 5
    • 0032736776 scopus 로고    scopus 로고
    • The effect of room size and general ventilation on the relationship between near and far-field concentrations
    • Cherrie JW. 1999. The effect of room size and general ventilation on the relationship between near and far-field concentrations. Appl Occup Environ Hyg 14:539-546.
    • (1999) Appl Occup Environ Hyg , vol.14 , pp. 539-546
    • Cherrie, J.W.1
  • 7
    • 15244347342 scopus 로고    scopus 로고
    • Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data
    • Eftekhar B, Mohammad K, Ardebili HE, Ghodsi M, Ketabchi E. 2005. Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data. BMC Med Inform Decis Mak 5:3-8.
    • (2005) BMC Med Inform Decis Mak , vol.5 , pp. 3-8
    • Eftekhar, B.1    Mohammad, K.2    Ardebili, H.E.3    Ghodsi, M.4    Ketabchi, E.5
  • 9
  • 10
    • 0003413187 scopus 로고
    • Neural networks: A comprehensive foundation
    • Chap.15: Macmillan New York
    • Haykin S. 1994. Neural networks: A comprehensive foundation, Chap.15: VLSI. Implementations of Neural Networks, Macmillan, New York, pp. 593-615.
    • (1994) VLSI Implementations of Neural Networks , pp. 593-615
    • Haykin, S.1
  • 11
    • 0023515080 scopus 로고
    • Counterpropagation networks
    • Hecht-Nielsen R. 1987. Counterpropagation networks. Appl Optics 26:4979-4984.
    • (1987) Appl Optics , vol.26 , pp. 4979-4984
    • Hecht-Nielsen, R.1
  • 13
    • 0004199140 scopus 로고
    • Addison-Wesley, Reading, MA
    • Hecht-Nielsen R. 1990. Neurocomputing, Addison-Wesley, Reading, MA, pp. 63-70.
    • (1990) Neurocomputing , pp. 63-70
    • Hecht-Nielsen, R.1
  • 14
    • 0026980087 scopus 로고
    • How neural networks learn from experience
    • Hinton GE. 1992. How neural networks learn from experience. Sci Am 267:144-151.
    • (1992) Sci Am , vol.267 , pp. 144-151
    • Hinton, G.E.1
  • 15
    • 0001041635 scopus 로고
    • Learning algorithms and probability distributions in feed-forward and feed-back networks
    • Hopfield JJ. 1987. Learning algorithms and probability distributions in feed-forward and feed-back networks. Proc Natl Acad Sci USA 84:8429-8433.
    • (1987) Proc Natl Acad Sci USA , vol.84 , pp. 8429-8433
    • Hopfield, J.J.1
  • 16
    • 2442639370 scopus 로고    scopus 로고
    • Development of effective and efficient rainfallrunoff models using integration of deterministic, real-coded genetic algorithms, and artificial neural network techniques
    • Jain A, Srinivasulu S. 2004. Development of effective and efficient rainfallrunoff models using integration of deterministic, real-coded genetic algorithms, and artificial neural network techniques. Water Resour Res 40:W04302.
    • (2004) Water Resour Res , vol.40
    • Jain, A.1    Srinivasulu, S.2
  • 17
    • 0345375364 scopus 로고    scopus 로고
    • Comparison of the performance of multilayer perceptron and linear regression for epidemiological data
    • Jean G, Bernad G, Laeritia H. 2004. Comparison of the performance of multilayer perceptron and linear regression for epidemiological data. Comput Stat Data An 44:547-570.
    • (2004) Comput Stat Data An , vol.44 , pp. 547-570
    • Jean, G.1    Bernad, G.2    Laeritia, H.3
  • 18
    • 29644447196 scopus 로고    scopus 로고
    • Cardiovascular toxicities upon manganese exposure
    • Jiang YM, Zheng W. 2005. Cardiovascular toxicities upon manganese exposure. Cardiovasc Toxicol 5:345-354.
    • (2005) Cardiovasc Toxicol , vol.5 , pp. 345-354
    • Jiang, Y.M.1    Zheng, W.2
  • 20
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen T. 1982. Self-organized formation of topologically correct feature maps. Biol Cybern 43:59-69.
    • (1982) Biol Cybern , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 21
    • 84941531665 scopus 로고
    • On hidden nodes for neural nets
    • Kudrycki TP. 1989. On hidden nodes for neural nets. IEEE Trans Circuits Syst 36:661-664.
    • (1989) IEEE Trans Circuits Syst , vol.36 , pp. 661-664
    • Kudrycki, T.P.1
  • 22
    • 0042786799 scopus 로고    scopus 로고
    • Neurologic effects of manganese in humans: A review
    • Levy BS, Nassetta WJ. 2003. Neurologic effects of manganese in humans: A review. Int J Occup Environ Health 9:153-163.
    • (2003) Int J Occup Environ Health , vol.9 , pp. 153-163
    • Levy, B.S.1    Nassetta, W.J.2
  • 23
    • 0037106590 scopus 로고    scopus 로고
    • A genetic neural fuzzy system-based quality prediction model for injection process
    • Li E, Jia L, Yu JS. 2002. A genetic neural fuzzy system-based quality prediction model for injection process. Comp Chem Eng 26:1253-1263.
    • (2002) Comp Chem Eng , vol.26 , pp. 1253-1263
    • Li, E.1    Jia, L.2    Yu, J.S.3
  • 24
    • 34250736170 scopus 로고    scopus 로고
    • Combined use of partial leastsquares regression and neural network for residual life estimation of large generator stator insulation
    • Li RH, Meng GX, Gao NK, Xie HK. 2007. Combined use of partial leastsquares regression and neural network for residual life estimation of large generator stator insulation. Meas Sci Technol 18:2074-2082.
    • (2007) Meas Sci Technol , vol.18 , pp. 2074-2082
    • Li, R.H.1    Meng, G.X.2    Gao, N.K.3    Xie, H.K.4
  • 25
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Lippmann RP. 1987. An introduction to computing with neural nets. IEEE ASSP Magazine 4:4-22.
    • (1987) IEEE ASSP Magazine , vol.4 , pp. 4-22
    • Lippmann, R.P.1
  • 26
    • 0343197617 scopus 로고
    • Neural network structures: Form follows function
    • Maren A, Harston C, Pap R (Eds.). Academic, San Diego, CA
    • Maren A. 1990. Neural network structures: Form follows function. In: Maren A, Harston C, Pap R (Eds.), Handbook of neural computing applications, Academic, San Diego, CA, pp. 45-58.
    • (1990) Handbook of Neural Computing Applications , pp. 45-58
    • Maren, A.1
  • 27
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • McCulloch WS, Pitts W. 1943. A logical calculus of the ideas immanent in nervous activity. Bull Math Biol 5:115-133.
    • (1943) Bull Math Biol , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.2
  • 28
    • 44149114693 scopus 로고    scopus 로고
    • Comparative structure-toxicity relationship study of substituted benzenes to Tetrahymena pyriformis using shufflingadaptive neuro fuzzy inference system and artificial neural networks
    • Mehdi JH, Anahita K. 2008. Comparative structure-toxicity relationship study of substituted benzenes to Tetrahymena pyriformis using shufflingadaptive neuro fuzzy inference system and artificial neural networks. Chemosphere 72:733-740.
    • (2008) Chemosphere , vol.72 , pp. 733-740
    • Mehdi, J.H.1    Anahita, K.2
  • 30
    • 18244389449 scopus 로고    scopus 로고
    • Comparison of asbestos exposure assessments by next-of-kin respondents, by an occupational hygienist, and by a jobexposure matrix from the national occupational hazard survey
    • Nam JM, Rice C, Gail MH. 2005. Comparison of asbestos exposure assessments by next-of-kin respondents, by an occupational hygienist, and by a jobexposure matrix from the national occupational hazard survey. Am J Ind Med 47:443-450.
    • (2005) Am J Ind Med , vol.47 , pp. 443-450
    • Nam, J.M.1    Rice, C.2    Gail, M.H.3
  • 31
    • 0033115775 scopus 로고    scopus 로고
    • Nonlinear channel equalization for QAM signal constellation using artificial neural networks
    • Patra JC, Pal RN, Baliarsingh R, Panda G. 1999. Nonlinear channel equalization for QAM signal constellation using artificial neural networks. IEEE Trans Syst Man Cybern B 29:262-271.
    • (1999) IEEE Trans Syst Man Cybern B , vol.29 , pp. 262-271
    • Patra, J.C.1    Pal, R.N.2    Baliarsingh, R.3    Panda, G.4
  • 32
    • 0003522412 scopus 로고    scopus 로고
    • Artificial neural networks: Theory and applications
    • Singapore
    • Patterson DW. 1996. Artificial neural networks: Theory and applications, Simon and Schuster (Asia), Singapore, pp. 477.
    • (1996) Simon and Schuster (Asia) , pp. 477
    • Patterson, D.W.1
  • 33
    • 34548364091 scopus 로고    scopus 로고
    • The neuropathology of manganese-induced parkinsonism
    • Perl DP, Olanow CW. 2007. The neuropathology of manganese-induced parkinsonism. J Neuropathol Exp Neurol 66:675-682.
    • (2007) J Neuropathol Exp Neurol , vol.66 , pp. 675-682
    • Perl, D.P.1    Olanow, C.W.2
  • 34
    • 0001355838 scopus 로고
    • Radial basis functions for multivariable interpolation: A review
    • Mason JC, Cox MG (Eds.), Clarendon Press, Oxford
    • Powell MJD. 1987. Radial basis functions for multivariable interpolation: A review. In: Mason JC, Cox MG (Eds.), Algorithms for approximation, Clarendon Press, Oxford, pp.143-167.
    • (1987) Algorithms for Approximation , pp. 143-167
    • Powell, M.J.D.1
  • 37
    • 61849152864 scopus 로고    scopus 로고
    • Manganese exposure, essentiality & toxicity
    • Santamaria AB. 2008. Manganese exposure, essentiality & toxicity. Indian J Med Res 128:484-500.
    • (2008) Indian J Med Res , vol.128 , pp. 484-500
    • Santamaria, A.B.1
  • 38
    • 0242487601 scopus 로고    scopus 로고
    • Determination of some rare earth elements by EDXRF and artificial neural networks
    • Schimidt F, Cornejo-Ponce L, Bueno MIMS, Poppi RJ. 2003. Determination of some rare earth elements by EDXRF and artificial neural networks. X-Ray Spectrom 32:423-427.
    • (2003) X-Ray Spectrom , vol.32 , pp. 423-427
    • Schimidt, F.1    Cornejo-Ponce, L.2    Mims, B.3    Poppi, R.J.4
  • 39
    • 24944432400 scopus 로고    scopus 로고
    • Assessing occupational and environmental exposure
    • Semple S. 2005. Assessing occupational and environmental exposure. Occup Med 55:419-423.
    • (2005) Occup Med , vol.55 , pp. 419-423
    • Semple, S.1
  • 40
    • 3142661278 scopus 로고    scopus 로고
    • Exposure assessment for a populationbased case-control study combining a job-exposure matrix with interview data
    • Semple SE, Dick F, Cherrie JW. 2004. Exposure assessment for a populationbased case-control study combining a job-exposure matrix with interview data. Scand J Work Env Health 30:241-248.
    • (2004) Scand J Work Env Health , vol.30 , pp. 241-248
    • Semple, S.E.1    Dick, F.2    Cherrie, J.W.3
  • 41
    • 4544364265 scopus 로고    scopus 로고
    • Artificial neural networks and statistical modeling for electronic stress prediction using thermal profiling
    • Sheng JH. 2004. Artificial neural networks and statistical modeling for electronic stress prediction using thermal profiling. IEEE Trans Electron Packag Manuf 27:49-58.
    • (2004) IEEE Trans Electron Packag Manuf , vol.27 , pp. 49-58
    • Sheng, J.H.1
  • 42
    • 0027242791 scopus 로고
    • Backpropagation neural nets with one and two hidden layers
    • Villiers J, Barnard E. 1992. Backpropagation neural nets with one and two hidden layers. IEEE Trans Neural Networks 4:136-141.
    • (1992) IEEE Trans Neural Networks , vol.4 , pp. 136-141
    • Villiers, J.1    Barnard, E.2
  • 43
    • 0022450141 scopus 로고
    • Chronic manganese poisoning: A neuropathological study with determination of manganese distribution in the brain
    • Yamada M, Ohno S, Okayasu I, Okeda R, Hatekeyama S, Watanabe H. 1986. Chronic manganese poisoning: A neuropathological study with determination of manganese distribution in the brain. Acta Neuropathol 70:273-278.
    • (1986) Acta Neuropathol , vol.70 , pp. 273-278
    • Yamada, M.1    Ohno, S.2    Okayasu, I.3    Okeda, R.4    Hatekeyama, S.5    Watanabe, H.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.