Multi-layer perceptron (MLP) and other artificial neural networks (ANNs) have been widely
applied to time series forecasting since 1980s. However, for some problems such as …

Sustainable urban development is the key to regional urban development policy-making.
Therefore, the comprehensive spatial zoning of rapidly urbanising areas is important. In this …

One of the most crucial tasks for utility companies is load forecasting in order to plan future
demand for generation capacity and infrastructure. Improving load forecasting accuracy over …

Predictions of variations in exchange rates of other currencies to a vehicle currency such as
the Dollar (USD) are vital in order to reduce the risks for international transactions. In this …

Algal blooms have recently become a critical global environmental concern which might put
economic development and sustainability at risk. However, the accurate prediction of algal …

This research aims to analyze and to compare the ability of different mathematical models,
such as artificial neural networks (ANN) and ARCH and GARCH models, to forecast the …

The purpose of this article is to present a novel genetic programming trading technique in
the task of forecasting the next day returns when trading the EUR/USD exchange rate based …

This study analyzed the time–frequency relationship between oil price and exchange rate for
Pakistan by using measures of continuous wavelet such as wavelet power, cross-wavelet …

In todays global economy, accuracy in predicting macro-economic parameters such as the
foreign the exchange rate or at least estimating the trend correctly is of key importance for …

Foreign exchange (Forex) market is the largest trading market in the world. Predicting the
trend of the market and performing automated trading are important for investors. Recently …