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 -- View this message in context: http://r.789695.n4.nabble.com/Need-help-on-nnet-tp3081744p3081744.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
