메뉴 건너뛰기




Volumn 24, Issue 6, 2005, Pages 577-589

The use of genetic algorithms and neural networks to approximate missing data in database

Author keywords

Auto associative; Error function; Genetic algorithms; Missing data; Multi layer perceptron; Neural networks; Radial basis function

Indexed keywords


EID: 33646120792     PISSN: 13359150     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (15)
  • 1
    • 30344475889 scopus 로고    scopus 로고
    • Multiple Imputation for Missing Data: Concepts and New Development
    • YUAN, Y.: Multiple Imputation for Missing Data: Concepts and New Development. In SUGI Paper 267-25. 2000.
    • (2000) SUGI Paper 267-25
    • Yuan, Y.1
  • 12
    • 3142607310 scopus 로고    scopus 로고
    • Genetic algorithms
    • FORREST, S.: Genetic algorithms. ACM Comput. Surv., Vol. 28, 1996, No. 1, pp. 77-80.
    • (1996) ACM Comput. Surv. , vol.28 , Issue.1 , pp. 77-80
    • Forrest, S.1
  • 15
    • 0003637791 scopus 로고
    • A genetic algorithm for function optimisation: A matlab implementation
    • Carolina State University
    • HOUCK, C. R.-JOINES, J. A.-KAY, M. G.: A Genetic Algorithm for Function Optimisation: A Matlab Implementation. Tech. Rep. NCSU-IE TR 95-09, Carolina State University, 1995.
    • (1995) Tech. Rep. NCSU-IE TR 95-09
    • Houck, C.R.1    Joines, J.A.2    Kay, M.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.