[PDF][PDF] Hybrid 4-Layer Bithreshold Neural Network for Multiclass Classification.

V Kotsovsky - COLINS (1), 2023 - ceur-ws.org
The questions related to the improvement of the performance of bithreshold classifiers are
treated in the paper. The new 4-layer neural network architecture is proposed whose first …

[PDF][PDF] An Approach Toward Packet Routing in the OSPF-Based Network with a Distrustful Router

K Obelovska, Y Snaichuk, J Selecky… - Wseas Trans. Inf. Sci …, 2023 - wseas.com
Packet routing in computer networks significantly affects the effectiveness of the network,
including its security. Various reasons can result in a certain router losing its trust from a …

Multithreshold Neural Units and Networks

V Kotsovsky, A Batyuk - 2023 IEEE 18th International …, 2023 - ieeexplore.ieee.org
We deal with theoretical issues concerning the application of the multithreshold architecture
in the theory of neural computation. The way of representing a multithreshold function by 2 …

[PDF][PDF] Intelligent Motion Control System for the Mobile Robotic Platform.

I Tsmots, V Teslyuk, Y Opotyak, V Rabyk - COLINS (3), 2023 - ceur-ws.org
Most of the modern mobile robotic platforms use interactive management using computing
and artificial intelligence technologies. A feature of mobile robotic platform is the ability to …

An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis

I Izonin, R Tkachenko, O Shcherbii… - 2023 IEEE 18th …, 2023 - ieeexplore.ieee.org
The accuracy of solving the approximation tasks in the case of analysis of large volumes of
tabular biomedical datasets by machine learning methods is not always high. This is …

Multithreshold Neural Units for Multiclass Classification

V Kotsovsky, T Lisovska… - 2024 IEEE 4th …, 2024 - ieeexplore.ieee.org
We treat multithreshold neural units and propose the model of k-threshold multi-valued
neuron. The simple online learning algorithm is described, which is designed to train multi …

Modification of Combined Unsupervised-Supervised Cascade Scheme for Small Biomedical Data Classification

I Izonin, R Tkachenko, M Sydor… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
The task of improving classification accuracy in the case of analysis of short datasets is an
important problem, in particular, for express diagnostics in biomedicine. Hybrid methods …

Implementation of Base Components of Neuro-like Cryptographic Data Protection Systems on FPGA

I Tsmots, V Rabyk, R Tkachenko… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
The implementation of the base components of neuro-like cryptographic data protection
systems using FPGA is considered. The structure of the data encryption module using …

Improved Architecture and the Synthesis Algorithm for Bithreshold Neural Network Classifier

V Kotsovsky, A Batyuk - 2023 IEEE 18th International …, 2023 - ieeexplore.ieee.org
The model of the 3-layer feed-forward neural network is introduced whose first hidden layer
consists of bithreshold neurons and the other layers—of single-threshold ones. The …

Development of a Device on FPGA to Implement the Base Operation of Neural-like Data Encryption Using Polynomials

I Tsmots, R Tkachenko, V Teslyuk… - 2023 IEEE 18th …, 2023 - ieeexplore.ieee.org
The implementation of neuro-like data encryption using polynomials is considered. The
structure of the device was developed with the usage of the base operation of neuro-like …