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Developments and Prospects of GMDH-Based Inductive Modeling

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Advances in Intelligent Systems and Computing II (CSIT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 689))

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Abstract

The article provides information on the historical development of the scientific direction of inductive modeling, originated by Ukrainian scholar Professor Oleksiy Ivakhnenko in 1968 with creation of his Group Method of Data Handling, as well as characterizes the basic fundamental, applied and technological achievements. The term inductive modeling can be defined as a self-organizing process of evolutional transition from initial data to mathematical models reflecting some patterns of functioning objects and systems implicitly contained in available experimental, trial or statistical data.

The structured information is presented on the development of GMDH-based inductive modeling in Ukraine and abroad, main fundamental, technological and applied achievements are characterized, as well as the most prospective ways of further research are formulated. The performed survey of the research state in the field of inductive modeling shows that GMDH is one of the most powerful methods of data mining and a promising basis for creating modern information technologies for discovering knowledge from observation data.

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  1. International Research and Training Centre for Information Technologies and Systems of the NAS and MES of Ukraine, Kyiv, 03680, Ukraine

    Volodymyr Stepashko

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  1. Lviv Polytechnic National University, Lviv, Ukraine

    Natalia Shakhovska

  2. IRTC ITS NASU, Kiev, Ukraine

    Volodymyr Stepashko

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Stepashko, V. (2018). Developments and Prospects of GMDH-Based Inductive Modeling. In: Shakhovska, N., Stepashko, V. (eds) Advances in Intelligent Systems and Computing II. CSIT 2017. Advances in Intelligent Systems and Computing, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-70581-1_34

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