
Hi,


Am working on neural network.

Below is the coding and the output

> library (nnet)

> uplift.nn<-nnet (PVU~ConsumerValue+Duration+PromoVolShare,y,size=3)

# weights:  16

initial  value 4068.052704

final  value 3434.194253

converged

> summary (uplift.nn)

a 3-3-1 network with 16 weights

options were -

  b->h1  i1->h1  i2->h1  i3->h1

  16.64    6.62  149.93    2.24

  b->h2  i1->h2  i2->h2  i3->h2

 -42.79  -17.40 -507.50   -5.14

  b->h3  i1->h3  i2->h3  i3->h3

   3.45    1.87   18.89    0.61

   b->o   h1->o   h2->o   h3->o

 402.81   41.29  236.76    6.06

I have few questions, please i need help
Q1: How to interpret the above output
Q2: My objective is to know the contribution of each independent variable.
Q3: Which package of neural network provides the AIC or BIC values


Regards
jothy

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