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Volumn 9, Issue 6, 1996, Pages 589-599

An environmental evaluation learning apprentice system

Author keywords

Civil engineering; Classification; Environmental engineering; Environmental impact assessment; Evaluation; Guidance relations; Prior knowledge; Rule induction

Indexed keywords

CONSTRAINT THEORY; DATABASE SYSTEMS; ENVIRONMENTAL IMPACT; HEURISTIC PROGRAMMING; INTERACTIVE COMPUTER SYSTEMS; KNOWLEDGE ACQUISITION; PARAMETER ESTIMATION;

EID: 0030401201     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0952-1976(96)00054-1     Document Type: Article
Times cited : (2)

References (18)
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  • 2
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    • PRISM: An algorithm for inducing modular rules
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    • Cendrowska, J., PRISM: an algorithm for inducing modular rules. In Knowledge Acquisition for Knowledge-Based Systems, Vol. 1, ed. B. R. Gaines and J. H. Boose. Academic Press, San Diego, CA, 1988, pp. 253-274.
    • (1988) Knowledge Acquisition for Knowledge-based Systems , vol.1 , pp. 253-274
    • Cendrowska, J.1
  • 3
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    • Pagallo, G.1    Haussler, D.2
  • 4
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    • Incremental induction of decision trees
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    • Utgoff, P.E.1
  • 8
    • 0027208378 scopus 로고
    • An environmental evaluation learning system
    • New York, ed. L. F. Cohn. American Society of Civil Engineers
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    • Julien, B.1    Fenves, S.J.2
  • 10
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    • A comprehensive review of current environmental impact assessment methods and techniques
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    • Shopley, J.1    Fuggle, R.2
  • 12
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    • Determining impact significance in EIA: A review of 24 methodologies
    • Thompson, M. A., Determining impact significance in EIA: a review of 24 methodologies. Journal of Environmental Management, 30(1), 235-250, 1990.
    • (1990) Journal of Environmental Management , vol.30 , Issue.1 , pp. 235-250
    • Thompson, M.A.1
  • 14
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    • Recording and reuse of design strategies in an integrated case-based design system
    • Wang, J. and Howard, H. C., Recording and reuse of design strategies in an integrated case-based design system. AI EDAM, 8(3), 219-238, 1994.
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    • Wang, J.1    Howard, H.C.2
  • 17
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    • Machine learning in civil engineering - Important issues and challenges
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.