randnc (Neural Network Toolbox)

Normalized column weight initialization function

W = randnc(S,PR)
W = randnc(S,R)

randnc is a weight initialization function.

randnc(S,P) takes two inputs,

S - Number of rows (neurons).

PR - R x 2 matrix of input value ranges = [Pmin Pmax].

and returns an S x R random matrix with normalized columns.

Can also be called as randnc(S,R).

Examples

A random matrix of four normalized three-element columns is generated:

M = randnc(3,4)
M =
    -0.6007   -0.4715   -0.2724    0.5596
    -0.7628   -0.6967   -0.9172    0.7819
    -0.2395    0.5406   -0.2907    0.2747