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Volumn 37, Issue 4, 2003, Pages 436-439+460

Neural networks based landprice evaluation method for urban/rural composition area

Author keywords

Artificial neural networks; City planning; Field price; Position choice; Urban rural composition area

Indexed keywords

EVALUATION; GENETIC ALGORITHMS; RURAL AREAS; URBAN PLANNING;

EID: 1642446072     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (5)
  • 2
    • 1642543958 scopus 로고    scopus 로고
    • An analysis of the model for the evaluation of a parcelland price based the research of the artificial neural network
    • CHEN Fu, ZHOU Feng, PU Li-jie, et al.. An analysis of the model for the evaluation of a parcelland price based the research of the artificial neural network [J]. Journal of Nanjing University, 1999, 35(3): 366-372.
    • (1999) Journal of Nanjing University , vol.35 , Issue.3 , pp. 366-372
    • Chen, F.1    Zhou, F.2    Pu, L.-J.3
  • 4
    • 1642462228 scopus 로고    scopus 로고
    • The research of the using of urban/rural composition field in house exploitation
    • RUAN Lian-fa. The research of the using of urban/rural composition field in house exploitation. [J]. Journal of Zhejiang University (Humanities and Social Sciences), 2000, 24: 148-155.
    • (2000) Journal of Zhejiang University (Humanities and Social Sciences) , vol.24 , pp. 148-155
    • Ruan, L.-F.1
  • 5
    • 0030319571 scopus 로고    scopus 로고
    • Forecasting house rental levels: Analytical rent model versus neural network
    • HENG L, VERA L. Forecasting house rental levels: Analytical rent model versus neural network [J]. Journal of Urban Planning and Development, 1996, 33(4): 118-126.
    • (1996) Journal of Urban Planning and Development , vol.33 , Issue.4 , pp. 118-126
    • Heng, L.1    Vera, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.