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Linear and Nonlinear Associative Memories for Parameter Estimation

Author

Listed:
  • Kalaba, Robert E.
  • Lichtenstein, Z.
  • Simchony, T.
  • Tesfatsion, Leigh S.

Abstract

This article discusses the use of associative memories for obtaining preliminary parameter estimates for nonlinear systems. Annotated pointers to related work can be accessed at http://www2.econ.iastate.edu/tesfatsi/vita.htm#MAM

Suggested Citation

  • Kalaba, Robert E. & Lichtenstein, Z. & Simchony, T. & Tesfatsion, Leigh S., 1992. "Linear and Nonlinear Associative Memories for Parameter Estimation," Staff General Research Papers Archive 11182, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:11182
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    Cited by:

    1. Naga, Palavadi & Fan, Yueyue, 2008. "Quick Estimation of Network Performance Measures Using Associative Memory Techniques," Institute of Transportation Studies, Working Paper Series qt8hd526wh, Institute of Transportation Studies, UC Davis.
    2. R E Kalaba & J E Moore II & R Xu & G J Chen, 1999. "Nonlinear Estimation with Associative Memories and Machine Evaluation of Derivatives: An Application to Calibrating Spatial Interaction Models," Environment and Planning A, , vol. 31(3), pages 441-457, March.

    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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