用matlab神经网络工具箱训练时，数据无法归一化

我用matlab自带的神经网络工具箱做训练时，发现数据没有归一化，代码是用GUI界面生成的再修改的。

x = Input_net';
t = D';

% Choose a Training Function
% For a list of all training functions type: help nntrain
% 'trainlm' is usually fastest.
% 'trainbr' takes longer but may be better for challenging problems.
% 'trainscg' uses less memory. Suitable in low memory situations.
trainFcn = 'trainbr';  % Levenberg-Marquardt backpropagation.

% Create a Fitting Network
hiddenLayerSize = [10 6 2];
net = fitnet(hiddenLayerSize,trainFcn);

% Choose Input and Output Pre/Post-Processing Functions
% For a list of all processing functions type: help nnprocess
net.input.processFcns = {'removeconstantrows','mapminmax'};
net.output.processFcns = {'removeconstantrows','mapminmax'};

按照我查阅的资料net结构体含有mapminmax字段应该自动归一化了，可是最后我得到的msc很大，而我将D（输出）预先归一化后msc就很小了。请问各位懂哥这是怎么回事？

哪个版本的matlab，什么工具箱，数据是从哪里来的？