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Volumn 119, Issue 1-4, 2000, Pages 275-294

The application of artificial neural networks for the prediction of water quality of polluted aquifer

Author keywords

Artificial Neural Network; Chlorine concentration; Groundwater simulation

Indexed keywords

AQUIFERS; CHLORINE; COMPUTER SIMULATION; NEURAL NETWORKS; WATER QUALITY;

EID: 0033627322     PISSN: 00496979     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1005165315197     Document Type: Article
Times cited : (45)

References (20)
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    • (1995) Lecture Notes of EE543 Neural Networks
    • Halici, U.1
  • 12
    • 0027678363 scopus 로고
    • How Artificial Intelligence Impacts e and P Productivity
    • McCormack, M. D. and Day, R.: 1993, 'How Artificial Intelligence Impacts E and P Productivity' World Oil, pp. 81-87.
    • (1993) World Oil , pp. 81-87
    • McCormack, M.D.1    Day, R.2
  • 14
    • 0012336733 scopus 로고
    • Learning-Logic: Casting the Cortex of the Human Brain in Silicon
    • Centre for the Computational Research in Economics and Management Science, MIT, Cambridge, MA
    • Parker, D. B.: 1985, 'Learning-Logic: Casting the Cortex of the Human Brain in Silicon', Technical Report TR-47, Centre for the Computational Research in Economics and Management Science, MIT, Cambridge, MA.
    • (1985) Technical Report TR-47
    • Parker, D.B.1
  • 16
    • 0000646059 scopus 로고
    • Learning Internal Representations by Error Propagation
    • D. E. Rumelhart and McClelland, J. L., (eds.), Vol., Chap. 8, MIT Press, Cambridge, Mass
    • Rumelhart, D. E., Hinton, G. E. and Williams, R. J.: 1986, Learning Internal Representations by Error Propagation', in D. E. Rumelhart and McClelland, J. L., (eds.), Parallel Distributed Processing. Vol., Chap. 8, MIT Press, Cambridge, Mass.
    • (1986) Parallel Distributed Processing.
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.