Tax fraud detection through neural networks: An application using a sample of personal income taxpayers
C Pérez López, MJ Delgado Rodríguez… - Future Internet, 2019 - mdpi.com
The goal of the present research is to contribute to the detection of tax fraud concerning
personal income tax returns (IRPF, in Spanish) filed in Spain, through the use of Machine …
personal income tax returns (IRPF, in Spanish) filed in Spain, through the use of Machine …
Application of linear regression for evaluation of production processes effectiveness
The effectiveness of production processes is a measure of the proper control of an
enterprise, its development and effective meeting the market's needs. Production capacity …
enterprise, its development and effective meeting the market's needs. Production capacity …
Predicting the performance of retail market firms: Regression and machine learning methods
DB Vukovic, L Spitsina, E Gribanova, V Spitsin, I Lyzin - Mathematics, 2023 - mdpi.com
The problem of predicting profitability is exceptionally relevant for investors and company
owners. This paper examines the factors affecting firm performance and tests and compares …
owners. This paper examines the factors affecting firm performance and tests and compares …
Mevduat bankalarının karlılığının yapay sinir ağları ile tahmini: Bir yazılım modeli tasarımı
Son yıllarda karlılık analizlerinde; esnek hesaplama EH teknikleri, doğrusal olmayan çok
değişkenli veri yapısında başarılı uygulamalarından dolayı tercih edilmektedir. Ancak, EH …
değişkenli veri yapısında başarılı uygulamalarından dolayı tercih edilmektedir. Ancak, EH …
Financial modeling using ANN technologies: Result analysis with different network architectures and parameters
The future is always uncertain and uncertainty leads to risk. The elaborate exercise of
forecasting and making predictions is a course of action to which organizations take …
forecasting and making predictions is a course of action to which organizations take …
[PDF][PDF] Prediction of bankruptcy in non-financial corporations using neural network
S Jencova, I Petruska, M Lukacova… - Montenegrin Journal of …, 2021 - researchgate.net
The issue of financial health has been the object of many studies. There are many methods
for predicting a company's financial health. Tamari's model (1966), the Balance Analysis …
for predicting a company's financial health. Tamari's model (1966), the Balance Analysis …
A comparison of ARIMA and ANN techniques in predicting port productivity and berth effectiveness
D Ighravwe, C Anyaeche - International Journal of Data and …, 2019 - growingscience.com
Business process evaluation is a common norm in small-medium-large industries globally
and information obtained during such evaluation have been used in simulating future …
and information obtained during such evaluation have been used in simulating future …
[PDF][PDF] A neural network approach to financial forecasting
P Enyindah… - International Journal of …, 2016 - researchgate.net
As the world economy keeps on changing, financial institutions and investors always look
forward to a system by which they can monitor the dynamic financial state of the world. This …
forward to a system by which they can monitor the dynamic financial state of the world. This …
[图书][B] Essays on business analytics and game theory
M Nguyen - 2023 - search.proquest.com
This collection of essays explores several research topics in business analytics and game
theory. The first essay, Chapter 2, applies text mining and machine learning to quantify the …
theory. The first essay, Chapter 2, applies text mining and machine learning to quantify the …
[HTML][HTML] Development of artificial neural networks for an energy storage system generated power prediction
DE Ighravwe, D Mashao - Energy Reports, 2020 - Elsevier
As energy utility firms expand their production outputs from renewable energy resources,
interest in investment in an energy storage system (ESS) will increase in the coming years …
interest in investment in an energy storage system (ESS) will increase in the coming years …