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Here is a small tutorial on how to design and implement a specific class of ANN called Feed Forward Back Propagation Networks that can be applied for Prediction, Classification, Clustering etc. Once one gets familiar with terms used, you can download the Excel files which are tools for Neural network model for prediction and neural network model for clustering. These are simple tools to use and one can play around with it to better understand the Neural Network Models.
 
Here is a small tutorial on how to design and implement a specific class of ANN called Feed Forward Back Propagation Networks that can be applied for Prediction, Classification, Clustering etc. Once one gets familiar with terms used, you can download the Excel files which are tools for Neural network model for prediction and neural network model for clustering. These are simple tools to use and one can play around with it to better understand the Neural Network Models.
  
[[Media:Example_Old Kiwi.ogg]]
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[[Media:Example_Old Kiwi.ppt]]
  
[[Media:Example_Old Kiwi.ogg]]
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[[Media:Example_Old Kiwi.xls]]
  
[[Media:Example_Old Kiwi.ogg]]
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[[Media:Example_Old Kiwi.xls]]
  
 
All tools and tutorial are taken from: http://www.geocities.com/adotsaha/NNinExcel.html
 
All tools and tutorial are taken from: http://www.geocities.com/adotsaha/NNinExcel.html

Revision as of 15:04, 16 March 2008

Here is a small tutorial on how to design and implement a specific class of ANN called Feed Forward Back Propagation Networks that can be applied for Prediction, Classification, Clustering etc. Once one gets familiar with terms used, you can download the Excel files which are tools for Neural network model for prediction and neural network model for clustering. These are simple tools to use and one can play around with it to better understand the Neural Network Models.

Media:Example_Old Kiwi.ppt

Media:Example_Old Kiwi.xls

Media:Example_Old Kiwi.xls

All tools and tutorial are taken from: http://www.geocities.com/adotsaha/NNinExcel.html

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett