Design exact radial basis network
net = newrbe(P,T,spread)
Radial basis networks can be used to approximate functions. newrbe
very
quickly designs a radial basis network with zero error on the design
vectors.
net = newrbe(P,T,spread)
takes two or three
arguments,
P 

T 

spread  Spread of radial basis functions (default = 1.0) 
and returns a new exact radial basis network.
The larger the spread
is, the smoother the
function approximation will be. Too large a spread can cause numerical
problems.
Here you design a radial basis network given inputs P
and
targets T
.
P = [1 2 3]; T = [2.0 4.1 5.9]; net = newrbe(P,T);
The network is simulated for a new input.
P = 1.5; Y = sim(net,P)