Site of Andrei Velichko

The site presents the development of the author in collaboration with the team of the laboratory in the field of neural network technologies and oxide electronics, as well as other developments of the author in the field of education and automation.

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A new neural network will make more devices smart thanks to chaos |

Practical recommendations on algorithms of neural network calculations. Backpropagation algorithm. |

Vector SVG format of handwritten digits from MNIST database |

Capacitorless model of a VO2 oscillator |

Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators |

A Method for Evaluating Chimeric Synchronization of Coupled Oscillators and Its Application for Creating a Neural Network Information Converter |

Description of the research activities performed and results obtained in the reporting year (2018) for publication on the RSF website |

Russian physicists have trained the oscillator neural network to recognize patterns |

An Investigation of the Effect of the Thermal Coupling Time Delay on the Synchronization of VO2-Oscillators |

Method of pattern storage and recognition in VO2-based oscillatory neural networks |

Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators

August 31, 2019September 1, 2019 admin

by Petr Boriskov and Andrei Velichko Electronics2019, 8(9), 922;

https://doi.org/10.3390/electronics8090922 – 22 Aug 2019

The circuits, presented in the article, are implemented in the MathCAD and LTSpice software packages, and source files are available in Supplementary Materials.

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