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Developing Intelligent Software for Non-Linear Model Fitting as an Expert System

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COMPSTAT

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Abstract

A prototype rational front-end for assisting users of the MLP program to input or generate data and formulate a model has been developed as an expert system using the shell EXPERT. Relationships between (a) MLP structure (b) selection of the task for the expert system (c) front-end design and (d) choice of programming tool are described.

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References

  • Ross G.J.S. (1978), Curve fitting using the Rothamsted Maximum Likelihood Program, in: Jacobs D.A.H. (ed.), Numerical Software — Needs and Availability, Academic Press, 293–323.

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  • Weiss S.M., Kulikowski C.A. (1979), EXPERT: a system for developing consultation models, IJCAI, 6, 942–947.

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Author information

Authors and Affiliations

  1. Pavia, Italia

    C. Berzuini & C. Larizza

  2. Harpenden, UK

    G. Ross

Authors
  1. C. Berzuini
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  2. G. Ross
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  3. C. Larizza
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Editor information

Editors and Affiliations

  1. Dipartimento di Statistica, Probabilità e Statistiche applicate, Università degli Studi di Roma „La Sapienza“, Piazzale Aldo Moro, 5, I-00185, Roma, Italy

    F. De Antoni  & A. Rizzi  & 

  2. Dipartimento di Matematica e Statistica, Università degli Studi di Napoli, Via Partenope, 36, I-80121, Napoli, Italy

    N. Lauro

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© 1986 Physica-Verlag, Heidelberg for IASC (International Association for Statistical Computing)

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Berzuini, C., Ross, G., Larizza, C. (1986). Developing Intelligent Software for Non-Linear Model Fitting as an Expert System. In: De Antoni, F., Lauro, N., Rizzi, A. (eds) COMPSTAT. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-46890-2_38

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  • DOI: https://doi.org/10.1007/978-3-642-46890-2_38

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-7908-0355-6

  • Online ISBN: 978-3-642-46890-2

  • eBook Packages: Springer Book Archive

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