Early warning of systemic financial risk of local government implicit debt based on BP neural network model

Y Zhao, Y Li, C Feng, C Gong, H Tan - Systems, 2022 - mdpi.com
In recent years, local governments have boosted their local economies by raising large
amounts of debt. Even though the state further strictly controls local government debt, the …

Real world evaluation and control of vehicle engine exhaust air pollution using adaptive neural fuzzy inference system

SA Abouel-Seoud, MS Shiba… - International Journal of …, 2023 - journals.sagepub.com
Internal combustion engines are considered primarily responsible for air pollution.
Accordingly, a concentrated effort has been made to reduce these pollutants which are …

The effect of inflation on firm profitability: an application in retail sector of Borsa Istanbul

F Dayı - Süleyman Demirel Üniversitesi Vizyoner Dergisi, 2020 - dergipark.org.tr
The cost of sales increases together with an increase in inflation. The firms that aims to
reach a profit target, reflect the cost increases on prices. Increases in prices may be higher …

[PDF][PDF] Measuring poverty level of households by using fuzzy logic

H Pabuçcu - Economics and Business, 2017 - academia.edu
Poverty is general scarcity or the state of one who lacks a certain amount of material
possessions or money. Poverty is a multifaceted concept, which includes social, economic …

The impact of inflation on SMEs: Evidence from a survey on Greek SMEs

Δ Γιακούλας, Γ Ιωαννίδης - Περιφέρεια, 2023 - ejournals.epublishing.ekt.gr
Based on Kalecki's theory of the dichotomy of market structure we focus on the different
impacts of inflation on firms with asymmetric market power. Using a questionnaire survey …

Volatilitenin Modellenmesi ve ANFIS Model ile BIST100 Getiri Tahmini

H Pabuçcu, N Değirmenci - Adam Academy Journal of Social …, 2018 - dergipark.org.tr
Hisse senedi piyasası volatilitesi finans literatüründe önemli bir konu olarak ele alınmakta ve
herhangi bir menkul kıymetin fiyatında meydana gelen ani değişkenlik olarak …

Construction of an Intelligent Fuzzy System for English Teaching Based on Data Mining Algorithms

Y Gao - 2021 International Conference on Aviation Safety and …, 2021 - dl.acm.org
With the improvement of my country's international status and closer exchanges with other
countries, English is the universal language of the world. The country and society urgently …

Development Of Credit Scoring Model For Borrowers Using Machine Learning Techniques

RE Ekong, KG Akintola, BM Kuboye - PERSPEKTIF, 2022 - ojs.uma.ac.id
Financial organizations such as banks have experienced an increase in demand for loans
from borrowers over the years. These organizations are highly interested in knowing …

A deep learning classifier selection method for credit scoring using neuro-fuzzy approaches

Γ Καβούσογλου - 2023 - hellanicus.lib.aegean.gr
Credit risk is a prominent facet of financial risk that holds paramount significance in
determining the prosperity of financial institutions. As such, extensive research efforts have …

Investigating the determinants of EU-28 sovereign credit ratings using stepwise least squares regression

B Žmuk, H Jošić - Proceedings of FEB Zagreb International …, 2021 - search.proquest.com
Sovereign credit ratings are a measure of a country's willingness to repay its obligations in
time and can be rated by evaluating the factors that determines it. There is a rich body of …