Genetic optimization of ensemble neural network architectures for prediction of COVID-19 confirmed and death cases
In this work a genetic algorithm for ensemble neural network architecture optimization
applied to COVID-19 time series prediction is proposed. The main objective of this paper is …
applied to COVID-19 time series prediction is proposed. The main objective of this paper is …
Design and implementation of adaptive neuro-fuzzy inference system for the control of an uncertain ball and beam apparatus
Controlling an uncertain mechatronic system is challenging and crucial for its automation. In
this regard, several control-strategies are developed to handle such systems. However …
this regard, several control-strategies are developed to handle such systems. However …
Dynamic stock buffer management method based on linguistic constructions
E Fedorov, O Nechyporenko - CEUR Workshop Proceedings, 2021 - er.chdtu.edu.ua
The paper proposes a dynamic stock buffer management method based on linguistic
constructions. The novelty of the research lies in the fact that a control system based on …
constructions. The novelty of the research lies in the fact that a control system based on …
Recurrent back propagation fuzzy neural network
SA Shanthi, G Sathiyapriya - AIP Conference Proceedings, 2023 - pubs.aip.org
This paper deals with Recurrent Back propagation neural network using fuzzy number. In
this network, layer operations of Recurrent back propagation fuzzy neural network are …
this network, layer operations of Recurrent back propagation fuzzy neural network are …
Method for Classifying Economic Agents Based on Neural Networks and Fuzzy Logic
T Neskorodieva, E Fedorov, O Nechyporenko… - International scientific …, 2023 - Springer
The paper is devoted to the creating problem a method for classifying economic agents
considering fuzzy information. As possible economic agents that are subject to classification …
considering fuzzy information. As possible economic agents that are subject to classification …
Detection of human skin diseases using deep learning
DD Priya, MS Rao - AIP Conference Proceedings, 2023 - pubs.aip.org
Skin diseases are the common health problems worldwide which are mostly caused by
fungal infection, bacteria, allergy, virus etc. The medical equipment for the diagnosis of skin …
fungal infection, bacteria, allergy, virus etc. The medical equipment for the diagnosis of skin …
Метод динамічного управління буфером запасів на основі м'яких обчислень
ЄЄ Федоров, ОВ Нечипоренко - Вісник Черкаського державного …, 2023 - er.chdtu.edu.ua
У роботі пропонується метод динамічного управління буфером запасів на основі м'яких
обчислень. Новизна дослідження полягає в тому, що для динамічного управління …
обчислень. Новизна дослідження полягає в тому, що для динамічного управління …
[PDF][PDF] Review on Classification of Natural & Synthetic Images.
NS Wadhe, N Tiwari - Grenze International Journal of Engineering & …, 2022 - academia.edu
The classification of image system mainly focuses on photographic and non-photographic ie
natural & synthetic images. The semantic description-based on classification of images is a …
natural & synthetic images. The semantic description-based on classification of images is a …