Using Multiv Ariate Analysis Techniques For Optimization Of The Artificial Nearning Efficency / :


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Author
MSc
Type
Benha University
University
Faculty
2009
Publish Year

The purpose of this study to investigate the possibility of using multiivariate statistical analysis techniques for optimization the neural network learning efficiency by the effect on input data set vector for neural network known as afeed-forward networks type using supervised learning paradingm.this research provids anew method increased the efficiency of neural networks learning based on multivariate analysis techniquesChabter1 introduction chabter 2 fundamental of artificial neural networks and neural computing. chapter3 multivarial analysis techniques chapter 4 artificial neural Networks implementation chapter 5 conclusion. 

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