Add to ORKGThis thesis examines the ability of Artificial Neural Networks (ANN) to predict crude oil spot price direction and short-term trends.Masters of Computin
Crude oil market is an immensely complex and dynamic environment and thus the task of predicting cha...
This research studies the application of hybrid algorithms for predicting the prices of crude oil. B...
A new method based on integrating discrete wavelet transform and artificial neural networks (WANN) m...
This paper presents short-term forecasting model for crude oil prices based on three layer feedforwa...
Oil prices have impacts on both economic and non-economic factors. Therefore, the accurate predictio...
As the oil demand continues to surge ahead and production continues to decline, it is believed that ...
Crude oil has an important role in the financial indicators of global markets and economies. The pri...
Crude oil has an important role in the financial indicators of global markets and economies. The pri...
This paper proposes a novel approach, based on convolutional neural network (CNN) models, that forec...
Artificial Neural Network (ANN) which was inspired by biological information processing in human bra...
Artificial Neural Network (ANN) which was inspired by biological information processing in human bra...
The global economy is assured to be very sensitive to the volatility of the oil market. The benefici...
There has been a renewed interest in accurately forecasting the price of crude oil and its fluctuati...
Crude oil is one of the most traded non-food products or commodities in the world. In Indonesia, cru...
This thesis enhances rare literature focusing on modeling and forecasting of term structure of crude...
Crude oil market is an immensely complex and dynamic environment and thus the task of predicting cha...
This research studies the application of hybrid algorithms for predicting the prices of crude oil. B...
A new method based on integrating discrete wavelet transform and artificial neural networks (WANN) m...
This paper presents short-term forecasting model for crude oil prices based on three layer feedforwa...
Oil prices have impacts on both economic and non-economic factors. Therefore, the accurate predictio...
As the oil demand continues to surge ahead and production continues to decline, it is believed that ...
Crude oil has an important role in the financial indicators of global markets and economies. The pri...
Crude oil has an important role in the financial indicators of global markets and economies. The pri...
This paper proposes a novel approach, based on convolutional neural network (CNN) models, that forec...
Artificial Neural Network (ANN) which was inspired by biological information processing in human bra...
Artificial Neural Network (ANN) which was inspired by biological information processing in human bra...
The global economy is assured to be very sensitive to the volatility of the oil market. The benefici...
There has been a renewed interest in accurately forecasting the price of crude oil and its fluctuati...
Crude oil is one of the most traded non-food products or commodities in the world. In Indonesia, cru...
This thesis enhances rare literature focusing on modeling and forecasting of term structure of crude...
Crude oil market is an immensely complex and dynamic environment and thus the task of predicting cha...
This research studies the application of hybrid algorithms for predicting the prices of crude oil. B...
A new method based on integrating discrete wavelet transform and artificial neural networks (WANN) m...