Input network, specified as a network object. To create a network object, use for example,feedforwardnetornarxnet.

Network targets, specified as a matrix or cell array.

Network outputs, specified as a matrix or cell array.

Error weights, specified as a vector, matrix, or cell array.

Error weights can be defined by sample, output element, time step, or network output:

ew = [1.0 0.5 0.7 0.2]; % Across 4 samples ew = [0.1; 0.5; 1.0]; % Across 3 elements ew = {0.1 0.2 0.3 0.5 1.0}; % Across 5 timesteps ew = {1.0; 0.5}; % Across 2 outputs

The error weights can also be defined across any combination, such as across two time-series (i.e., two samples) over four timesteps.

ew = {[0.5 0.4],[0.3 0.5],[1.0 1.0],[0.7 0.5]};

在一般情况下,我们的错误ights may have exactly the same dimensions as targets, in which case each target value will have an associated error weight.

The default error weight treats all errors the same.

ew = {1}