Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models.
José Luis AznarteJosé Manuel Benítez SánchezDiego Nieto LugildeConcepción de Linares FernándezConsuelo Díaz de la GuardiaFrancisca Alba SánchezPublished in: Expert Syst. Appl. (2007)
Keyphrases
- neuro fuzzy models
- weather forecasting
- forecasting accuracy
- neuro fuzzy
- financial time series
- rough sets
- multilayer perceptron
- neural network
- box jenkins
- arma model
- chaotic time series
- network architecture
- computational intelligence
- exponential smoothing
- short term
- hybrid model
- neural network model
- stock market
- bp neural network
- arima model
- forecasting model
- support vector regression
- short term prediction
- multivariate time series
- artificial neural networks
- fuzzy inference system
- moving average
- garch model
- stock price
- exchange rate
- recurrent neural networks
- hybrid learning
- prediction model
- long term
- artificial intelligence
- machine learning