Skip to content
  • 5:39 am
  • Wednesday
  • August 10, 2022

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.

Latest
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  |  

Category: Science

In this section you can read about the scientific achievements of the oxide electronics laboratory

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

September 29, 2020October 30, 2020 admin

Techxplore NEWSBREAK Thetechstreetnow https://www.youtube.com/watch?v=htr08x_RyN8 A scientist from Russia has developed a new neural network architecture and tested its learning ability on the recognition of handwritten digits. The intelligence of the network was amplified by chaos, ....

Continue reading
Science

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

July 11, 2020July 29, 2020 admin

In this video, I will tell about the algorithm for calculating simple feedforward neural network, and about the backpropagation of errors algorithm for neural network training. https://youtu.be/1aC_tEPP4-Y The simplest neural network circuit is shown in ....

Continue reading
Science

Vector SVG format of handwritten digits from MNIST database

June 12, 2020July 29, 2020 Maksim Belyaev

Choose a color scheme: White numbers on a black background Black numbers on a white background Red numbers on a white background Click on the image of the digit to download the SVG image file. ....

Continue reading
Science

Capacitorless model of a VO2 oscillator

January 31, 2020January 31, 2020 admin

We implement a capacitorless model of a VO2 oscillator by introducing into the circuit of a field-effect transistor and a VO2 thermal sensor, which provide negative current feedback with a time delay. We compare the ....

Continue reading
Science

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.

Continue reading
Science

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

July 23, 2019July 24, 2019 admin

This paper presents a new method for evaluating the synchronization of quasi-periodic oscillations of two oscillators, termed “chimeric synchronization”. The family of metrics is proposed to create a neural network information converter based on a ....

Continue reading
Science

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

May 7, 2019May 7, 2019 admin

In 2018, we conducted theoretical and experimental research activities on the methods development for oscillatory neural networks’ operations (networks training), for such applications as pattern storing and pattern recognition, information coding. The synchronization effects in ....

Continue reading
Science

Russian physicists have trained the oscillator neural network to recognize patterns

February 12, 2019February 12, 2019 admin

Electronics 2019, 8(1), 75; https://doi.org/10.3390/electronics8010075 Abstract The current study uses a novel method of multilevel neurons and high order synchronization effects described by a family of special metrics, for pattern recognition in an oscillatory neural network (ONN). ....

Continue reading
Science

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

January 26, 2019 admin

The effect of the time delay of thermal coupling on the synchronization of two VO2-oscillators has been studied for the first time. A modification of the methods for determining high order synchronization parameters has been ....

Continue reading
Science

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

December 1, 2018 admin

Please follow the link and read the full text of the article published in the journal Electronics. Development of neuromorphic systems based on new nanoelectronics materials and devices is of immediate interest for solving the ....

Continue reading
Science

Posts navigation

Older posts
  • Русский
  • English
Categories
  • Science
Pages
  • Сontacts
  • Сollective
  • Mobile applications
  • Publications
Recent Posts
  • 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
Термическая связь
3D вид VO2 переключателей, и схематическое изображение областей нагрева.
Proudly powered by WordPress | Theme: news-box by wpthemespace.com.