Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations.
S. I. V. SousaFernando Gomes MartinsM. C. M. Alvim-FerrazM. C. PereiraPublished in: Environ. Model. Softw. (2007)
Keyphrases
- principal components
- artificial neural networks
- multiple linear regression
- input variables
- air pollution
- principal component analysis
- regression model
- software effort
- dimensionality reduction
- neural network
- computational intelligence
- back propagation
- software reliability
- air quality
- correlation coefficient
- neural network model
- multilayer perceptron
- covariance matrix
- feed forward neural networks
- principal component regression
- genetic algorithm
- fuzzy logic
- forecasting model
- long term
- control system
- expert systems
- machine learning
- data mining