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TSOBM: A Tool for the Simulation and Optimization of Biorhythmical Models

  • Conference paper
Medical Informatics Europe 1991

Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 45))

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Abstract

TSOBM is a tool designed for users with little skills in computer programming which want to use a personal computer for the development and utilization of simulation models. With TSOBM simulation models can be quickly defined using a comprehensive graphical language. If desired a model can be specified with “open” parameter values. TSOBM will then determine these values by comparing simulation results of the model with data gathered in experiments, thereby tailoring the model to experimentally measured phenomena.

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References

  1. R.W. Danielis: An Introduction to Numerical Methods and Optimization Techniques, 1978

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Author information

Authors and Affiliations

  1. Institut für Angewandte Informatik und Formale Beschreibungsverfahren, Universität Karlsruhe (TH), D-7500, Karlsruhe, Germany

    T. Sykora & R. Richter

Authors
  1. T. Sykora
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  2. R. Richter
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Editor information

Editors and Affiliations

  1. Department of Medical Computer Sciences, University of Vienna, Währinger Gürtel 18-20, 1090, Wien, Austria

    Klaus-Peter Adlassnig  & Georg Grabner  & 

  2. Department of Clinical Microbiology, Akademiska Hospital, P. O. Box 552, 751 85, Uppsala, Sweden

    Stellan Bengtsson

  3. National Institute of Public Health, Geitmyrsveien 75, 0462, Oslo, Norway

    Rolf Hansen

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© 1991 Springer-Verlag Berlin Heidelberg

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Sykora, T., Richter, R. (1991). TSOBM: A Tool for the Simulation and Optimization of Biorhythmical Models. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_105

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  • DOI: https://doi.org/10.1007/978-3-642-93503-9_105

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54392-3

  • Online ISBN: 978-3-642-93503-9

  • eBook Packages: Springer Book Archive

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