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Locate the Bounding Box of Neural Networks with Intervals

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Abstract

A novel hybrid method is proposed for neural network training. The method consists of two phases: in the first phase the bounds for the neural network parameters are estimated using a genetic algorithm that uses intervals as chromosomes. In the second phase a genetic algorithm is used to train the neural network inside the bounding box located by the first phase. The proposed method is tested on a series of well-known datasets from the relevant literature and the results are reported.

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Acknowledgements

The experiments of this research work was performed at the high performancecomputing system established at Knowledge and Intelligent Computing Lab-oratory, Dept of Informatics and Telecommunications, University of Ioannina,acquired with the project “Educational Laboratory equipment of TEI of Epirus” with MIS 5007094 funded by the Operational Programme “Epirus” 2014-2020,by ERDF and national finds.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Patras, Patras, Greece

    Nikolaos Anastasopoulos

  2. Department of Informatics and Telecommunications, University of Ioannina, Ioannina, Greece

    Ioannis G. Tsoulos, Evangelos Karvounis & Alexandros Tzallas

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  1. Nikolaos Anastasopoulos
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  2. Ioannis G. Tsoulos
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  3. Evangelos Karvounis
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  4. Alexandros Tzallas
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Correspondence to Ioannis G. Tsoulos.

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Anastasopoulos, N., Tsoulos, I.G., Karvounis, E. et al. Locate the Bounding Box of Neural Networks with Intervals. Neural Process Lett 52, 2241–2251 (2020). https://doi.org/10.1007/s11063-020-10347-z

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