Zusammenfassung. Künstliche Neuronale Netze stellen eine innovative und attraktive Form der statistischen Urteilsbildung dar, da sie im Gegensatz zu herkömmlichen Methoden auch nichtlineare Zusammenhänge modellieren können, ohne dass diese a priori ...
This paper presents a novel procedure known as sensitivity analysis applied to a multilayer perceptron (MLP), which allows the most relevant lagged terms in time series forecasting to be identified. Second, this paper conducts a comparison of forecasting ...
This article focuses on a new proposed artificial neural network (ANN) model for tourism demand forecasting using time-series which, unlike previous models, uses different seasons of arrivals and values of months with similar behavior as input variables ...
Mechanical (statistical) predictions have proven to be useful in personnel selection. However, such predictions require the use of an algorithm to aggregate different predictor scores. The identification of such an algorithm requires analyzing predictor ...