In recent two decades, artificial neural networks have been extensively used in many
business applications. Despite the growing number of research papers, only few studies …

As a hot topic, financial distress prediction (FDP), or called as corporate failure prediction,
bankruptcy prediction, acts as an important role in decision-making of various areas …

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 …

This research studies a support vector machine (SVM)-based ensemble learning algorithm
for breast cancer diagnosis. Illness diagnosis plays a critical role in designating treatment …

Mining industry is the basic industry of the national economy. However, in recent years,
listed mining companies have suffered serious financial risks due to special reasons such as …

The stock market is affected by many factors, such as political events, general economic
conditions, and traders' expectations. Predicting the direction of stock markets movement …

For financial institutions, the ability to predict or forecast business failures is crucial, as
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …

This study proposes a new kernel extreme learning machine (KELM) parameter tuning
strategy using a novel swarm intelligence algorithm called grey wolf optimization (GWO) …

Load forecasting implies directly in financial return and information for electrical systems
planning. A framework to build wavenet ensemble for short-term load forecasting is …

The accurate prediction of corporate bankruptcy for the firms in different industries is of a
great concern to investors and creditors, as the reduction of creditors' risk and a …