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2010-10-16
Neural Network Modeling Course Notes

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table of contents
supervised prediction
   example univariate function estinatiom
   example enterpise miner bosics
newwork architecture
   example proc neural bosics
   example fexible discriminant analysis
training
   example boston housing data
model complexity
   example empirically selecting the nunber of neurons
   example interactive cascade architecture
   example regularized MLP
generalize additive neural networks
   example GANN analysis of the boston housing data
   example GANN for the bank d data
nonlinear autoregression
   example AR MLP
   example VAR MLP
exercises
references
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