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Sample Training Session Best Linear Fit: A = (0.346) T + (28.3) 120 Data Points A=T Best Linear Fit 100 A 80 60 40 R = 0.563 20 0 0 20 40 60 T 80 100 120 The first two outputs seem to track the targets reasonably well (this is a difficult problem), and the R-values are almost 0.9. The third output (vldl levels) is not well modeled. We probably need to work more on that problem. We might go on to try other network architectures (more hidden layer neurons), or to try Bayesian regularization instead of early stopping for our training technique. Of course there is also the possibility that vldl levels cannot be accurately computed based on the given spectral components. 5-53
