Special coding for machine learning systems

Authors

DOI:

https://doi.org/10.18372/2073-4751.70.16843

Keywords:

machine learning, neuron system, special coding bit-logarithmic system

Abstract

The direction of development computer structure for system of machine learning on level  arithmetic logical base with data  of special coding operational system is considered.

The procedure development of machine learning on base of bit-logarithmic system is suggested. This system has all ability of digital system and is improving of bit system. Distance between nonzero bits is resolving. This result is data for increasing productivity for whole result.

The model result defines level of productivity this proposition for neuron system. Model realization is open system. This proposition is improving for neuron system for machine learning.

References

Гамаюн В.П. Розрядно-логарифмічна арифметика. Методи та алгоритми. Монографія. – К.: Книжкове вид-во НАУ, 2007. – 272 с.

Гамаюн В.П. Шалаш Л.А. Высокопроизводителдьная обработка на основе оценочных вычислений // Нові комп’ютерні засоби, обчислювальні машини та мережі: Зб. наук. пр. Ін-т кібернетики ім. Глушкова НАНУ. – К., 2001. – № 1. – С. 104-108.

Гупал А.М. Пашко С.В. Эффективность байесовских процедур распознования // Кибернентика и системный анализ. К., 1995. – № 4. – С. 76-89.

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Published

2022-06-24

How to Cite

Gamayun, V., Andreev, O., & Andreev, V. (2022). Special coding for machine learning systems. Problems of Informatization and Control, 2(70), 24–27. https://doi.org/10.18372/2073-4751.70.16843

Issue

Vol. 2 No. 70 (2022)

Section

Статті

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