subsasgn Assign fields of a neural network.

In MATLAB, you can assign fields of a neural network using the `subsasgn` function. The `subsasgn` function allows you to modify or assign values to specific fields of an object, such as a neural network.

Here's an example of how you can use `subsasgn` to assign fields of a neural network:

net = feedforwardnet([10 5]); % Create a feedforward neural network

% Assign a new value to the 'trainFcn' field of the network
newTrainFcn = 'trainlm';
net = subsasgn(net, struct('type', '.', 'subs', 'trainFcn'), newTrainFcn);

% Assign a new value to the 'layers' field of the network
newLayers = [15 7];
net = subsasgn(net, struct('type', '.', 'subs', 'layers'), newLayers);

In the above example, we first create a feedforward neural network `net` using the `feedforwardnet` function. Then, we use `subsasgn` to assign a new value to the `'trainFcn'` field and the `'layers'` field of the network.

Note that in the `subsasgn` function, we use a structure with fields `'type'`, `'subs'`, and the new value to specify the assignment operation. The `'type'` field is set to `'.'` to indicate that we are accessing a field of the object, and the `'subs'` field specifies the name of the field we want to assign.

You can adapt this example to assign other fields of a neural network based on your specific requirements.