To alleviate the limitations of statistical based methods of forecasting of exchange rates, soft
and evolutionary computing based techniques have been introduced in the literature. To …

Various forecasting algorithms have been investigated in various cases. Forecasting is an
important activity, especially in the sales area. Accurate sales forecasting is a support …

This paper considers the prediction of currency exchange rate, volatility, and momentum
prediction by exploring the capabilities of Support Vector Machine (SVM) and k-Nearest …

IMPLEMENTATION OF PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM FOR
ESTIMATING PARAMETER OF ARMA MODEL VIA MAXIMUM LIKELIHOOD METH Page 1 Far …

Following recent progress in neural networks, an increasing number of researchers have
applied this technique to sales forecasting. The accurate prediction of sales enables …

In many real-world applications, analyzing and predicting the pattern of data in time series
plays an important role, ranging from resource allocation in data centers, load schedule in …

This paper addresses the problem of predicting the sales by developing two sales
forecasting models based on multi-layered perceptron (MLP) and radial basis function …

Mejora de la precisión en las proyecciones de ventas a través del uso de modelos estadísticos
en una corporación de Guayaqui Page 1 RPC-SO-30-NO.506-2019 Page 2 Página 2 de 43 …

Finance and the economy are older fields than the topic of signal processing, and they kept
on evolving for centuries without reference to signal processing concepts. However, some …

An alternative electric power source, such as wind power, has to be both reliable and
autonomous. An accurate wind speed forecasting method plays the key role in achieving the …