Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection.
Mustafa GöçkenMehmet ÖzçaliciAsli BoruAyse Tugba DosdogruPublished in: Neural Comput. Appl. (2019)
Keyphrases
- soft computing
- variable selection
- parameter tuning
- hybrid intelligent systems
- input variables
- model selection
- linear models
- computational intelligence
- fuzzy logic
- cross validation
- intelligent systems
- rough sets
- stock price prediction
- high dimensional
- neural network
- search space
- artificial neural networks
- parameter settings
- computer vision
- artificial intelligence
- nearest neighbor
- probabilistic model
- evolutionary computation
- dimension reduction
- feature selection
- learning algorithm
- machine learning
- data sets