Pattern recognition to forecast seismic time series.
A. Morales-EstebanFrancisco Martínez-ÁlvarezAlicia Troncoso LoraJ. L. JustoCristina Rubio-EscuderoPublished in: Expert Syst. Appl. (2010)
Keyphrases
- pattern recognition
- signal processing
- exponential smoothing
- forecasting accuracy
- chaotic time series
- box jenkins
- neural network
- seismic data
- image analysis
- short term
- dynamic time warping
- pattern classification
- arima model
- image processing
- computer vision
- phase space reconstruction
- mackey glass
- pattern analysis
- multivariate time series
- pattern recognition problems
- symbolic representation
- non stationary
- feature extraction
- moving average
- machine learning
- multidimensional time series
- demand forecasting
- subsequence matching
- phase space
- hybrid model
- speech recognition
- support vector machine svm
- high dimensional
- bp neural network
- prediction model
- neural network model
- stock market
- fuzzy sets
- parallel distributed processing