메뉴 건너뛰기




Volumn 2, Issue , 1999, Pages 729-734

Iterative RBF neural networks as metamodels of stochastic simulations

Author keywords

[No Author keywords available]

Indexed keywords

INDUSTRIAL RESEARCH; ITERATIVE METHODS; MANUFACTURE; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; STOCHASTIC SYSTEMS;

EID: 33847195598     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPMM.1999.791478     Document Type: Conference Paper
Times cited : (6)

References (19)
  • 1
    • 0024656793 scopus 로고
    • Response surface methodology: 1966-1988
    • Myers, R., Khuri, A., and Carter W., 1989. Response Surface Methodology: 1966-1988. Technometrics, 31(2), 137-157.
    • (1989) Technometrics , vol.31 , Issue.2 , pp. 137-157
    • Myers, R.1    Khuri, A.2    Carter, W.3
  • 2
    • 85040035954 scopus 로고
    • Neural network conversion of the electric arc furnace into the intelligent arc furnace
    • Washington D.C, April 15
    • Staib, W.E., Bliss, N.G., and Staib, R.B., 1991. Neural Network Conversion of the Electric Arc Furnace Into the Intelligent Arc Furnace. Iron and Steel Conference, Washington D.C, April 15.
    • (1991) Iron and Steel Conference
    • Staib, W.E.1    Bliss, N.G.2    Staib, R.B.3
  • 4
    • 0029417696 scopus 로고
    • Modeling the quality of steel production with an adaptative logic network
    • Fuzzy Logic and Evolutionary Programming, by Dagli et al. (Eds), ASME Press
    • Stelljes, T.A., and Erickson, K.T., 1995. Modeling the Quality of Steel Production With an Adaptative Logic Network. In Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 5., Fuzzy Logic and Evolutionary Programming, by Dagli et al. (Eds), ASME Press.
    • (1995) Intelligent Engineering Systems Through Artificial Neural Networks , vol.5
    • Stelljes, T.A.1    Erickson, K.T.2
  • 7
    • 0016518731 scopus 로고
    • The construction and implementation of metamodels
    • Blanning, R., 1975. The Construction and Implementation of Metamodels. Simulation, 24, 177-184.
    • (1975) Simulation , vol.24 , pp. 177-184
    • Blanning, R.1
  • 10
    • 0026851007 scopus 로고
    • Using a neural network to enhance the decision making quality of a visual interactive simulation model
    • Hurrion, R.D., 1992. Using a Neural Network to Enhance the Decision Making Quality of a Visual Interactive Simulation Model. Journal of The Operations Research Society, 43(4), 333-341.
    • (1992) Journal of the Operations Research Society , vol.43 , Issue.4 , pp. 333-341
    • Hurrion, R.D.1
  • 11
    • 0005261923 scopus 로고
    • Neural network as a simulation metamodel in economic analysis of risky projects
    • University of Oklahoma
    • Badiru, A.B., and Sieger, D.B., 1993. Neural Network as a simulation metamodel in economic analysis of risky projects. Tech. Rept, Dept of Industrial Engineering, University of Oklahoma.
    • (1993) Tech. Rept, Dept of Industrial Engineering
    • Badiru, A.B.1    Sieger, D.B.2
  • 12
    • 0003032547 scopus 로고
    • Applying artificial neural networks to combat simulations
    • Kilmer, R.A., 1995. Applying Artificial Neural Networks to Combat Simulations. Mathematical And Computer Modelling, 23(1-2), 91-99.
    • (1995) Mathematical and Computer Modelling , vol.23 , Issue.1-2 , pp. 91-99
    • Kilmer, R.A.1
  • 13
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • T.M. Cover, 1965. Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. IEEE Transactions on Electronic Computers, EC-14, 326-334.
    • (1965) IEEE Transactions on Electronic Computers , vol.EC-14 , pp. 326-334
    • Cover, T.M.1
  • 15
    • 0000621802 scopus 로고
    • Multivariable functional interpolation and adaptive networks
    • Broomhead, D.S. and Lowe, D., 1988. Multivariable functional interpolation and adaptive networks. Complex Systems, Vol. 2, 321-355.
    • (1988) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 16
    • 0005379082 scopus 로고    scopus 로고
    • Radial basis functions neural networks VS NOVEL on 4 benchmarks problems
    • Daytona Beach, FL, 10-14 May 1997
    • Meghabghab, G., Nasr, G., and Boyd, D., 1997. Radial Basis Functions Neural Networks VS NOVEL on 4 benchmarks problems. Proceedings of the 10th International FLAIRS Conference, Daytona Beach, FL, 10-14 May 1997, 242-246.
    • (1997) Proceedings of the 10th International FLAIRS Conference , pp. 242-246
    • Meghabghab, G.1    Nasr, G.2    Boyd, D.3
  • 18
    • 0031295411 scopus 로고    scopus 로고
    • A new radial basis function neural network VS NOVEL on 4 benchmarks problems
    • Edited by C. Dagli ASME Press, New York, NY
    • Meghabghab, G. and Nasr, G. 1997. A new Radial Basis Function Neural Network VS NOVEL on 4 benchmarks problems. Intelligent Engineering Through Artificial Neural Networks, Edited by C. Dagli, Vol 7, ASME Press, New York, NY, 177-182.
    • (1997) Intelligent Engineering Through Artificial Neural Networks , vol.7 , pp. 177-182
    • Meghabghab, G.1    Nasr, G.2
  • 19
    • 0005365157 scopus 로고    scopus 로고
    • An interior point radial basis function neural network on 4 benchmarks problems
    • Mexico City, Mexico, March 16-20
    • Meghabghab, G. and Nasr, G. 1998. An Interior Point Radial Basis Function Neural Network on 4 benchmarks problems. Proceedings of 4th World Congress on Expert Systems, Mexico City, Mexico, March 16-20, 844-855.
    • (1998) Proceedings of 4th World Congress on Expert Systems , pp. 844-855
    • Meghabghab, G.1    Nasr, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.