Question

How to use nnet to have user specified initial weights instead of defaults for running a neural network algorithm?

Answer 1

The custom weights shall have the following form:

weights <- c(

 BH1, I1H1, I2H1, .., InH1,
 BH2, I1H2, I2H2, .., InH2,
 ...
 BHn, I1Hn, I2Hn, .., InHn,
 BO,
 I1Out, .., InOut)

i.e.

c(
 weights from bias & inputs to 1st hidden unit,
 from bias & inputs to second hidden unit H2,
 from bias & inputs to last hidden unit Hn,
 biast of output unit,
 skip layer weights ( if any)
 )