An improved radar clutter suppression by simple neural network

J Perďoch, S Gažovová, M Pacek - IET Radar, Sonar & …, 2024 - Wiley Online Library
The presented paper is further focused on the presentation and subsequent assessment of
utilising a proposed Neural Network (NN) with simple architecture in the role of a signal …

Interfacial stress analysis in damaged RC beams reinforced whit FRP using artificial neural network method

A Rezki, HA Atmane, R Bennai… - Studies in …, 2024 - ojs.studiespublicacoes.com.br
Concrete is the most widely used material in the construction industry across the globe. Its
properties, combined with varying climatic and usage conditions, contribute to common …

[PDF][PDF] Using deep learning algorithm to diagnose Parkinson disease with high accuracy

F Gemcı, T Ibrıkcı - Kahramanmaraş Sütçü İmam Üniversitesi …, 2019 - jes.ksu.edu.tr
Early diagnosis of Parkinson's disease, which causes vital and permanent damage to both
motor and non-motor symptoms, is very important to prevent further deterioration of the …

Analysis of MIA GMDH as a self-organizing deep neural network

O Moroz - 2021 IEEE 16th International Conference on …, 2021 - ieeexplore.ieee.org
In this paper, most popular deep feed-forward deterministic supervised neural networks are
considered and the multilayered iterative GMDH algorithm as a self-organizing deep neural …

[PDF][PDF] MOROZ OH, PhD (Engineering), Senior Researcher of the Dept. for Information

VS STEPASHKO - 2021 - kvt-journal.org.ua
Methods. Most usable deep feed-forward supervised neural networks have been studied:
multilayered perceptron, convolutional NN and some its modifications, polynomial neural …

[PDF][PDF] Conclusions. MIA GMDH and its modifications are original representatives of the self-organizing networks potentially giving best results, especially for big data …

OH Moroz, VS Stepashko - Informatics and Information …, 2021 - kvt-journal.org.ua
Deep neural networks (DNNs)[1] are effective tools for solving actual tasks such as
forecasting, data mining, pattern recognition, clustering, classification etc. Under the term …

[PDF][PDF] TƏBİƏT ELMLƏRİ NATURALS SCIENCES

EN Huseyn - academia.edu
Early diagnosis of Parkinson's disease, which causes vital and permanent damage to the
motor and nonmotor symptoms, is essential to prevent the patient from worsening. In this …

[PDF][PDF] A neural network-based approach for the study of the decision-making process within a company

M Bekri - Studies of African Economies - researchgate.net
Introduction n fact, reasoning and learning are two main aspects of human cognition. The
former is the process of using previously acquired knowledge to solve the encountered …

CCE Journal

OH Moroz, VS Stepashko, OY Volkov, VY Taranukha… - kvt-journal.org.ua
Methods. Most usable deep feed-forward supervised neural networks have been studied:
multilayered perceptron, convolutional NN and some its modifications, polynomial neural …

[PDF][PDF] USING DEEP LEARNING ALGORITHM TO DIAGNOSE PARKINSON DISEASE WITH HIGH ACCURACY PARKİNSON HASTALIĞINI YÜKSEK DOĞRULUKLA …

F GEMCI, T IBRIKCI - dergipark.org.tr
Hem motor hem de motor dışı semptomlarda hayati ve kalıcı hasara neden olan Parkinson
hastalığının erken teşhisi, hasta durumunun daha da kötüleşmesini önlemek için çok …