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Multidimensional Wavelet Neuron for Pattern Recognition Tasks in the Internet of Things Applications

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Advances in Computer Science for Engineering and Education (ICCSEEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 754))

Abstract

Data mining and processing of Big Data is key problem in developing intelligent Internet of Things (IoT) applications. In this article, the multidimensional wavelet neuron for pattern recognition tasks is proposed. Also, the learning algorithm based on the quadratic error criterion is synthesized. This approach combines the benefits of the neural networks, the neuro-fuzzy system, and the wavelet functions approximation. The proposed multidimensional wavelet neuron can be used to solve a very large class of information processing problems for the Internet of Things applications when signals are fed in online mode from many sensors. The proposed approach is uncomplicated for computational realization and can be implemented in hardware for IoT systems. The proposed learning algorithm is characterized by a high rate of convergence and high approximation properties.

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Author information

Authors and Affiliations

  1. IT Step University, 83a Zamarstynivs’ka str., Lviv, 79019, Ukraine

    Olena Vynokurova, Dmytro Peleshko, Semen Oskerko & Vitalii Lutsan

  2. Lviv State University of Life Safety, 35 Kleparivska, Lviv, 79000, Ukraine

    Marta Peleshko

Authors
  1. Olena Vynokurova
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  2. Dmytro Peleshko
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  3. Semen Oskerko
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  4. Vitalii Lutsan
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  5. Marta Peleshko
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Corresponding author

Correspondence to Olena Vynokurova .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Kiev, Ukraine

    Ivan Dychka

  4. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Ft. Lauderdale, Florida, USA

    Matthew He

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Vynokurova, O., Peleshko, D., Oskerko, S., Lutsan, V., Peleshko, M. (2019). Multidimensional Wavelet Neuron for Pattern Recognition Tasks in the Internet of Things Applications. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_7

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