Selecting Classifiers Techniques for Outcome Prediction Using Neural Networks Approach
Data(s) |
07/12/2009
07/12/2009
2007
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Resumo |
This paper presents an analysis of different techniques that is designed to aid a researcher in determining which of the classification techniques would be most appropriate to choose the ridge, robust and linear regression methods for predicting outcomes for specific quasi-stationary process. |
Identificador |
1313-0463 |
Idioma(s) |
en |
Publicador |
Institute of Information Theories and Applications FOI ITHEA |
Palavras-Chave | #Classification Techniques #Neural Network #Composite Classifier |
Tipo |
Article |