Name

ann_FF_init_nb — initialize the weight hypermatrix (without bias).

CALLING SEQUENCE

W = ann_BP_init_nb(N[,r])

PARAMETERS

N Row vector describing the number of neurons per layer. N(1) is the size of input pattern vector, N(size(N,'c')) is the size of output pattern vector (and also target). r Two component row vector defining the smallest and the largest value for initialization. Weights will be initialized with random numbers between these two values. r(1) the lower limit r(2) the upper limit This parameter is optional, default value is [-1,1]. W The weight hypermatrix, in the format used by ann_BP_Std_nb, ann_BP_run_nb and other functions working with feedforward nets (without bias).

Description

This function builds the weight hypermatrix according to network description N. The format of it is detailed in ANN_FF. This function is to be used on networks without biases.

See Also

ANN , ANN_FF