Comparative analysis of the prediction and classification accuracy of artificial neural networks with respect to traditional statistical methods.
Carlos Belman-LópezJosé Alfredo Jiménez-GarcíaJosé Antonio Vázquez-LópezPublished in: Int. J. Comb. Optim. Probl. Informatics (2021)
Keyphrases
- comparative analysis
- statistical methods
- artificial neural networks
- classification accuracy
- statistical analysis
- prediction accuracy
- computational methods
- ann models
- machine learning
- feed forward artificial neural networks
- machine learning methods
- computational intelligence
- predictive model
- neural network
- data mining techniques
- statistical approaches
- elman network
- statistical tests
- biological data
- semi quantitative
- evolutionary artificial neural networks
- fusion scheme
- multi layer perceptron
- risk factors
- back propagation
- feature space
- prediction model
- using artificial neural networks
- probability density function
- training set
- statistical models
- multilayer perceptron
- genetic algorithm ga
- data warehouse
- support vector