forecasting inflation in G-7 countries. Design/methodology/approach – The study applies different combinations of neural networks … forecasting inflation, the suggested models can be used to track the future rates of inflation and, further, they can apply that …

Forecasting inflation is a major concern for economists and businessmen. Most researchers have relied upon statistical …

transport sector. First the strong points of the “intelligent” techniques of forecasting are analysed compared to the more … traditionally used statistical methodologies, and then a forecasting neural model of the failure rate of the equipment installed on …

occupancy rate forecasting. This paper reports on a study about applying neural networks to the forecasting of room occupancy … forecast room occupancy rates outperforms multiple regression and naïve extrapolation, two commonly used forecasting approaches.  …

Purpose – This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. To do … authors developed a new forecasting accuracy measure and found that radial basis function networks outperform the rest of the … innovative framework to improve the forecasting performance of artificial intelligence techniques and by providing a new …

forecasting exchange rate after measuring the extent of volatility. The present study is a unique contribution in the existing …

the field of the electricity price forecasting. Thus, it gives a new impact for further research enabling development of …