A two-stage architecture for stock price forecasting by integrating self-organizing map and support vector regression.
Sheng-Hsun HsuJ. J. Po-An HsiehTing-Chih ChihKuei-Chu HsuPublished in: Expert Syst. Appl. (2009)
Keyphrases
- support vector regression
- self organizing maps
- forecasting accuracy
- neural network
- support vector
- regression model
- support vector classification
- unsupervised learning
- som neural network
- probabilistic neural network
- hybrid model
- support vector machine svm
- k means
- kernel function
- topology preserving
- learning vector quantization
- input data
- support vector machine
- machine learning
- nearest neighbor
- decision trees
- data mining
- data sets