Neural Network Toolbox™

Normalized row weight initialization function

Syntax

• W = randnr(S,PR)
  W = randnr(S,R)
  

Description

randnr is a weight initialization function.

randnr(S,PR) 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 rows.

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

Examples

A matrix of three normalized four-element rows is generated:

• M = randnr(3,4)
  M =
      0.9713    0.0800   -0.1838   -0.1282
      0.8228    0.0338    0.1797    0.5381
     -0.3042   -0.5725    0.5436    0.5331
  

See Also

randnc

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randnc

rands

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