Apply pattern recognition output to another dataset
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I have a DEM dataset that I have worked up into values such as slope, aspect, curvature, &c. At some points I have feature observations of the ground cover (bare, grass, trees). I now have a training dataset with the elevation, slope, aspect, curvature, &c. and a binary output with each ground cover as a separate column: [0,0,1;1,0,0;0,0,1;0,1,0] Means {'trees';'bare';'trees';'grass'}. I have run the pattern recognition tool from the neural network toolbox and the confusion matrix looks promising (>80% correct). How do I now apply the model developed to the whole DEM dataset?
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KSSV
2018-1-22
If your input data changes i.e if you change the combination.....you should train again and get new net.
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