Greetings!
After generating a neural network based on a given data set (the data set
consists of two input variables and 1 output variable), I get the following
output from calling the summary function on the resulting Neural Network
object (using the nnet package):
>summary(nnetModel)
a 2-3-1 network with 13 weights options were - linear output units
b->h1 i1->h1 i2->h1
0.55 0.00 0.15
b->h2 i1->h2 i2->h2
-0.39 0.34 -0.41
b->h3 i1->h3 i2->h3
-0.61 0.69 0.55
b->o h1->o h2->o h3->o
-0.34 0.83 -0.09 -0.42
My question is which set of weights would I use for my formula to do
prediction? For example, to predict a future value, would my formula be:
0.55 + 0.00 * inputVariable1 + 0.15*inputVariable2
using the weights from the input layer or some other layer or some
combination therein? Thanks for the help!
~Brian
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