While Artificial Intelligence (AI) has been in existence since the Seminal work of Newell and Simon (1956), it still represents one of the significant breakthroughs that offer the opportunity for digital transformation and automation across a wide variety of industries. As defined by Colosimo et...

Traditional statistical methods pose challenges in data analysis due to irregularity in the financial data. To improve accuracy, financial researchers use machine learning architectures for the past two decades. Neural Networks (NN) are a widely used architecture in financial research. Despite...

Artificial neural networks have been successfully applied to a variety of business application problems involving classification and regression. They are especially useful for regression problems as they do not require prior knowledge about the data distribution. In many applications, it is...

In this study, a model for strategic planning based on artificial neural networks is presented. This proposed artificial neural network model goes beyond projections and statistical analysis. Based, on an algorithm, the proposed model offers strategy optimization and assists management in...