Radial basis function network: Difference between revisions

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m Function approximation: replace local copy of image with copy on commons - should not change anything
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where the learning rate <math> \nu </math> is taken to be 0.3. The training is performed with one pass through the 100 training points. The [[Mean squared error|rms error]] is 0.15.
 
[[Image:060731c Normalized basis functions.png|thumb|350px|right|Figure 8: Normalized basis functions. The Logistic map (blue) and the approximation to the logistic map (red) after one pass through the training set. Note the improvement over the unnormalized case. ]]
 
====Normalized radial basis functions====