USING MULTIVARIATE ANALYSIS TECHNIQUES FOR OPTIMIZATION OF THE ARTIFICIAL NEURAL NETWORKS LEARNING EFFICIENCY
Hazem Abd Algafar Mohamed Souror;
Abstract
Abstract
The purpose of this study to investigate the possibility of using multivariate statistical analysis techniques for Optimization the neural network learning efficiency by the effect on (reduce dimensions and overcome varieties) input data set vec
The purpose of this study to investigate the possibility of using multivariate statistical analysis techniques for Optimization the neural network learning efficiency by the effect on (reduce dimensions and overcome varieties) input data set vec
Other data
| Title | USING MULTIVARIATE ANALYSIS TECHNIQUES FOR OPTIMIZATION OF THE ARTIFICIAL NEURAL NETWORKS LEARNING EFFICIENCY | Authors | Hazem Abd Algafar Mohamed Souror | Keywords | USING MULTIVARIATE ANALYSIS TECHNIQUES FOR OPTIMIZATION OF THE ARTIFICIAL NEURAL NETWORKS LEARNING EFFICIENCY | Issue Date | 2009 | Description | Abstract The purpose of this study to investigate the possibility of using multivariate statistical analysis techniques for Optimization the neural network learning efficiency by the effect on (reduce dimensions and overcome varieties) input data set vec |
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