Forecasting Cash Demand in ATM Using Neural Networks and Least Square Support Vector Machine.
Cristián RamírezGonzalo AcuñaPublished in: CIARP (2011)
Keyphrases
- neural network
- demand forecasting
- short term
- asynchronous transfer mode
- pattern recognition
- artificial neural networks
- back propagation
- backpropagation neural networks
- atm networks
- fuzzy logic
- electricity markets
- genetic algorithm
- financial forecasting
- forecasting accuracy
- fuzzy systems
- fault diagnosis
- self organizing maps
- neural network model
- multilayer perceptron
- decision making
- lead time
- priority scheduling
- medium term
- recurrent neural networks
- exchange rate
- predictive model
- prediction model
- multi layer
- historical data
- forecasting model
- radial basis function
- training process
- chaotic time series
- arima model
- support vector regression