Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat.
Xiaojie XuYun ZhangPublished in: Intell. Syst. Account. Finance Manag. (2022)
Keyphrases
- neural network
- crude oil
- artificial neural networks
- pattern recognition
- fuzzy logic
- oil field
- fuzzy systems
- feed forward
- single commodity
- activation function
- neural nets
- multilayer perceptron
- self organizing maps
- neural network model
- back propagation
- rule extraction
- support vector
- genetic algorithm
- short term
- training process
- training algorithm
- long term
- global exponential stability
- artificial intelligence