Gold, as a dominant ingredient in financial market, has gripped a large quantities of the
financiers and scholars to research the formation mechanism of its price. Academic circles …

There have been many improvements and advancements in the application of neural
networks in the mining industry. In this study, two advanced deep learning neural networks …

Gold has practical applications in jewellery, technology, investors and by central banks. This
diversity of gold demand and self-balancing nature of the gold market underpin gold's robust …

Metal prices forecasting has practical implications for a variety of participants, including
producers, consumers, governments and investors. However, metal prices forecasting is a …

The forecast of fluctuations of prices is the major concern in financial markets. Thus,
developing an accurate and robust forecasting decision model is critical for investors. As …

En este trabajo se predice el comportamiento del precio del oro mediante un modelo
basado en redes neuronales artificiales (RNA). El objetivo del modelo es predecir los …

Gold price prediction has long been a crucial and challenging research topic for gold
investors. In conventional models, most scholars have used the historical gold price or …

With gold being one of the most important precious metals that play irreplaceable roles in
the global market, understanding the future movement of the gold price is of significant …

In recent times, gold has been one of the prioritized commodities in terms of long term as
well as short term investments since the investors consider gold as a hedgerow against the …

Gold price forecasting has been a hot issue in economics recently. In this work, wavelet
neural network (WNN) combined with a novel artificial bee colony (ABC) algorithm is …