Similar Search Results

Artificial neural network and decision tree-based modelling of non-prosperity of companies

Durica, Marek; Frnda, Jaroslav; Svabova, Lucia - In: Equilibrium : quarterly journal of economics and … 18 (2023) 4, pp. 1105-1131

Persistent link: https://www.econbiz.de/10014492220

The estimation of corporate liquidity management using artificial neural networks

Christopoulos, Apostolos G.; Dokas, Ioannis G.; … - In: International journal of financial engineering and risk … 1 (2013) 2, pp. 193-210

Persistent link: https://www.econbiz.de/10010197911

Corporate failure prediction : an evaluation of deep learning vs discrete hazard models

Alam, Nurul; Gao, Junbin; Jones, Stewart - In: Journal of international financial markets, … 75 (2021), pp. 1-13

Persistent link: https://www.econbiz.de/10012820830

Application of artificial neural networks in predicting financial distress in the JSE financial services and manufacturing companies

Dube, Fikile; Nzimande, Ntokozo Patrick; Muzindutsi, … - In: Journal of sustainable finance & investment 13 (2023) 1, pp. 723-743

Persistent link: https://www.econbiz.de/10013545702

Prediction of construction cost index based on multi variable grey neural network model

Xie, Shasha; Fang, Jun - In: International journal of information systems and change … 10 (2018) 3, pp. 209-226

Persistent link: https://www.econbiz.de/10012005618

A PSO-GRNN model for railway freight volume prediction : empirical study from China

Sun, Yan; Lang, Maoxiang; Wang, Danzhu; Liu, Linyun - In: Journal of industrial engineering and management : JIEM 7 (2014) 2, pp. 413-433

Purpose: The purpose of this paper is to propose a mathematical model for the prediction of railway freight volume, and therefore provide railway freight resource allocation with an accurate direction. With an accurate railway freight volume prediction, railway freight enterprises can integrate...

Persistent link: https://www.econbiz.de/10011904580