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Modification of Neural Network Tsang-Wang in Algorithm for CAD of Complex Systems with Higher Degree of Dependability

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Dependability Engineering and Complex Systems (DepCoS-RELCOMEX 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 470))

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Abstract

The paper includes a proposal of a new algorithm for Computer Aided Design (CAD) of complex system with higher degree of dependability. Optimal scheduling of tasks and optimal resources partition are fundamental problems in this algorithm. Presented the CAD algorithm, based on neural networks, may have a practical application in developing tools for rapid prototyping of such systems.

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References

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Author information

Authors and Affiliations

  1. Faculty of Electrical and Computer Engineering, Cracow University of Technology, Kraków, Poland

    Mieczyslaw Drabowski

Authors
  1. Mieczyslaw Drabowski
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Correspondence to Mieczyslaw Drabowski .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Wrocław University of Technology, Wrocław, Poland

    Wojciech Zamojski

  2. Department of Computer Engineering, Wrocław University of Technology, Wrocław, Poland

    Jacek Mazurkiewicz

  3. Department of Computer Engineering, Wrocław University of Technology, Wroclaw, Poland

    Jarosław Sugier

  4. Department of Computer Engineering, Wrocław University of Technology, Wrocław, Poland

    Tomasz Walkowiak

  5. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Janusz Kacprzyk

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Drabowski, M. (2016). Modification of Neural Network Tsang-Wang in Algorithm for CAD of Complex Systems with Higher Degree of Dependability. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Dependability Engineering and Complex Systems. DepCoS-RELCOMEX 2016. Advances in Intelligent Systems and Computing, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-319-39639-2_11

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  • DOI: https://doi.org/10.1007/978-3-319-39639-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39638-5

  • Online ISBN: 978-3-319-39639-2

  • eBook Packages: EngineeringEngineering (R0)

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