matalab神经网络工具箱中的newff.m完整的程序结构是什么样子的？

function net = newff(pr,s,tf,btf,blf,pf)
%NEWFF Create a feed-forward backpropagation network.
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% Syntax
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% net = newff
% net = newff(PR,[S1 S2...SNl],{TF1 TF2...TFNl},BTF,BLF,PF)
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% Description
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% NET = NEWFF creates a new network with a dialog box.
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% NEWFF(PR,[S1 S2...SNl],{TF1 TF2...TFNl},BTF,BLF,PF) takes,
% PR - Rx2 matrix of min and max values for R input elements.
% Si - Size of ith layer, for Nl layers.
% TFi - Transfer function of ith layer, default = 'tansig'.
% BTF - Backprop network training function, default = 'trainlm'.
% BLF - Backprop weight/bias learning function, default = 'learngdm'.
% PF - Performance function, default = 'mse'.
% and returns an N layer feed-forward backprop network.
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% The transfer functions TFi can be any differentiable transfer
% function such