Value of nonlinearity estimator at given input
value = evaluate(nl,x)
nlNonlinearity estimator object.
xValue at which to evaluate the nonlinearity.
If nl is a single nonlinearity estimator,
then x is a 1-by-nx row
vector or an nv-by-nx matrix,
where nx is the dimension of the regression vector
input to nl (size(nl)) and nv is
the number of points where nl is evaluated.
If nl is an array of ny nonlinearity
estimators, then x is a 1-by-ny cell
array of nv-by-nx matrices.
value = evaluate(nl,x) computes the value
of a nonlinear estimator object of type customnet, deadzone, linear, neuralnet, pwlinear, saturation, sigmoidnet, treepartition,
or wavenet.
The following syntax evaluates the nonlinearity of an estimated
nonlinear ARX model m:
value = evaluate(m.Nonlinearity,x)
where m.Nonlinearity accesses the nonlinearity
estimator of the nonlinear ARX model.