Systematic review of bankruptcy prediction models: Towards a framework for tool selection
The bankruptcy prediction research domain continues to evolve with many new different
predictive models developed using various tools. Yet many of the tools are used with the …
predictive models developed using various tools. Yet many of the tools are used with the …
Neurocomputing intelligence models for lakes water level forecasting: a comprehensive review
Hydrological processes forecasting is an essential step for better water management and
sustainability. Among several hydrological processes, lake water level (LWL) forecasting is …
sustainability. Among several hydrological processes, lake water level (LWL) forecasting is …
Deep learning models for bankruptcy prediction using textual disclosures
This study introduces deep learning models for corporate bankruptcy forecasting using
textual disclosures. Although textual data are common, it is rarely considered in the financial …
textual disclosures. Although textual data are common, it is rarely considered in the financial …
[HTML][HTML] Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction
Y Cao, A Raise, A Mohammadzadeh, S Rathinasamy… - Energy Reports, 2021 - Elsevier
A deep learned recurrent type-3 (RT3) fuzzy logic system (FLS) with nonlinear consequent
part is presented for renewable energy modeling and prediction. Beside the rule …
part is presented for renewable energy modeling and prediction. Beside the rule …
Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
This study investigates the accuracy of least square support vector machine (LSSVM),
multivariate adaptive regression splines (MARS) and M5 model tree (M5Tree) in modeling …
multivariate adaptive regression splines (MARS) and M5 model tree (M5Tree) in modeling …
Management of financial risks in Slovak enterprises using regression analysis
Research background: Financial risk management is the task of monitoring financial risks
and managing their impact. Financial risk is often perceived as the risk that a company may …
and managing their impact. Financial risk is often perceived as the risk that a company may …
Classifiers consensus system approach for credit scoring
M Ala'raj, MF Abbod - Knowledge-Based Systems, 2016 - Elsevier
Banks take great care when dealing with customer loans to avoid any improper decisions
that can lead to loss of opportunity or financial losses. Regarding this, researchers have …
that can lead to loss of opportunity or financial losses. Regarding this, researchers have …
Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model …
This paper investigates the application of three artificial intelligence methods, including
multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least …
multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least …
Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag …
NS Piro, A Mohammed, SM Hamad… - Neural Computing & …, 2023 - search.proquest.com
Concrete is a very flexible composite material that is extensively employed in the building
industry. Steel slag is a waste material produced during steelmaking. It is formed during the …
industry. Steel slag is a waste material produced during steelmaking. It is formed during the …
Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model
The potential of several predictive models including multiple model-artificial neural network
(MM-ANN), multivariate adaptive regression spline (MARS), support vector machine (SVM) …
(MM-ANN), multivariate adaptive regression spline (MARS), support vector machine (SVM) …