STRUCTURAL-PARAMETRIC SYNTHESIS OF THE FEEDFORWARD NEURAL NETWORKS WITH SIGMOID PIECEWISE-TYPE NEURONS

Abstract

The method of structural and parametric synthesis of feedforward neural networks is considered, which includes Sigmoid Piecewise neurons, used in the process of a predictive model construction. The article describes the principles of a new developed Sigmoid Piecewise neuron constructing. It is proposed the method of structural and parametric synthesis with a single layer of Sigmoid Piecewise neurons.The training algorithm of proposed neural networks is developed. The results of the effectiveness research of Sigmoid Piecewise neurons on real samples are presented.

Authors and Affiliations

Michael Zgurovsky, Olena Chumachenko, Vladyslav Gorbatiuk

Keywords

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  • EP ID EP514464
  • DOI 10.18372/1990-5548.58.13508
  • Views 167
  • Downloads 0

How To Cite

Michael Zgurovsky, Olena Chumachenko, Vladyslav Gorbatiuk (2018). STRUCTURAL-PARAMETRIC SYNTHESIS OF THE FEEDFORWARD NEURAL NETWORKS WITH SIGMOID PIECEWISE-TYPE NEURONS. Електроніка та системи управління, 4(58), 42-47. https://europub.co.uk/articles/-A-514464