Purpose – In recent years, equity premiums have been unusually large and efforts to forecast them have been largely unsuccessful. This paper presents evidence suggesting that artificial neural networks (ANNs) outperform traditional statistical methods and can forecast equity premiums...

Purpose – The purpose of this paper is to discuss the application of computational intelligence techniques to the field of industrial robot control. Design/methodology/approach – The core ideas behind using neural computation, evolutionary computation, and fuzzy logic techniques are...

Purpose – The recent financial crises in the world have brought attention to the need for a new international financial architecture which rests on crisis prevention, crisis prediction and crisis management. It is therefore both desirable and vital to explore new predictive techniques for...

Purpose – The aim of this paper is to research the correlation using artificial intelligent tools among international stock markets issuing for the companies. Design/methodology/approach – The objective is to find out the correlation among markets so it can be used for trend prediction. The...

Purpose – In recent years, equity premiums have been unusually large and efforts to forecast them have been largely unsuccessful. This paper presents evidence suggesting that artificial neural networks (ANNs) outperform traditional statistical methods and can forecast equity premiums...

We present a fully non-parametric method for extracting risk neutral densities (RNDs) from observed option prices. The aim is to obtain a continuous, smooth, monotonic, and convex pricing function that is twice differentiable. Thus, irregularities such as negative probabilities that afflict many...

Purpose – The purpose of this paper is to perform a comparative study of prediction performances of an artificial neutral network (ANN) model against a linear prediction model like a linear discriminant analysis (LDA) with regards to forecasting corporate credit ratings from financial...

Purpose – The purpose of this paper is to demonstrate how the use of data mining (DM) analysis can be used to evaluate how well cameras that monitor red‐light‐signal controlled intersections improve traffic safety by reducing fatalities. Design/methodology/approach – The paper...

Purpose – The paper aims to advance methodologies to optimize fuzzy logic controller parameters via neural network and use the neuro‐fuzzy scheme to control two cooperating robots. Design/methodology/approach – The paper presents a special neural network architecture that can be converted...

Purpose – Aims to realize the high accurate contour control with high‐speed motion of articulated robot manipulator (ARM) with interference. Design/methodology/approach – Proposes a new contour control method by using Gaussian neural network (GNN) to solve the problem of the deterioration...