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Analyzing mathematical models with inductive learning networks

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  • Steiger, David M.
  • Sharda, Ramesh

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  • Steiger, David M. & Sharda, Ramesh, 1996. "Analyzing mathematical models with inductive learning networks," European Journal of Operational Research, Elsevier, vol. 93(2), pages 387-401, September.
    • Handle: RePEc:eee:ejores:v:93:y:1996:i:2:p:387-401
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    References listed on IDEAS

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    1. Arthur M. Geoffrion, 1987. "An Introduction to Structured Modeling," Management Science, INFORMS, vol. 33(5), pages 547-588, May.
    2. Steven O. Kimbrough & Jim R. Oliver & Clark W. Pritchett, 1993. "On Post-Evaluation Analysis: Candle-Lighting and Surrogate Models," Interfaces, INFORMS, vol. 23(3), pages 17-28, June.
    3. Arthur M. Geoffrion, 1976. "The Purpose of Mathematical Programming is Insight, Not Numbers," Interfaces, INFORMS, vol. 7(1), pages 81-92, November.
    4. Greenberg, Harvey J., 1994. "Syntax-directed report writing in linear programming using ANALYZE," European Journal of Operational Research, Elsevier, vol. 72(2), pages 300-311, January.
    5. Saltelli, A. & Homma, T., 1992. "Sensitivity analysis for model output : Performance of black box techniques on three international benchmark exercises," Computational Statistics & Data Analysis, Elsevier, vol. 13(1), pages 73-94, January.
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