Design a linear layer
Syntax
net = newlind(P,T)
new = newlind
Description
newlind(P,T) takes two input arguments,
P - R x Q matrix of Q input vectors.
T - S x Q matrix of Q target class vectors.
and returns a linear layer designed to output T (with minimum sum square error) given input P.
Call newlind without input arguments to define the network's attributes in a dialog window.
Examples
We would like a linear layer that outputs T given P for the following definitions.
P = [1 2 3];
T = [2.0 4.1 5.9];
Here we use newlind to design such a network and check its response.
net = newlind(P,T);
Y = sim(net,P)
Algorithm
newlind calculates weight W and bias B values for a linear layer from inputs P and targets T by solving this linear equation in the least squares sense:
[W b] * [P; ones] = T
See Also
sim, newlin
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