Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series.
Nai-Yi WangShyi-Ming ChenPublished in: Expert Syst. Appl. (2009)
Keyphrases
- dimensionality reduction
- high order
- financial time series
- high dimensional data
- data points
- forecasting accuracy
- unsupervised learning
- exponential smoothing
- box jenkins
- chaotic time series
- higher order
- prediction model
- short term prediction
- mackey glass
- low order
- grey model
- weather forecasting
- fuzzy clustering
- arima model
- stock market
- short term
- multivariate time series
- phase space reconstruction
- prediction accuracy
- moving average
- solar radiation
- pairwise
- clustering algorithm
- neural network
- hybrid model
- fuzzy sets
- k means
- wind speed
- clustering method
- tensor analysis
- markov random field
- lower order
- data mining tasks
- load forecasting
- bayesian logistic regression
- autoregressive integrated moving average
- exchange rate
- stock price
- bp neural network
- document clustering
- tensor decomposition
- predictive model
- arma model
- predictive accuracy
- partial differential equations
- fuzzy rules
- face recognition