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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.ppt]] | |
| − | + | [[Media:Example1_Old Kiwi.xls]] | |
| − | + | [[Media:Example2_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 | ||
Latest revision as of 14:06, 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.
All tools and tutorial are taken from: http://www.geocities.com/adotsaha/NNinExcel.html
