​

欢迎来到本博客❤️❤️

博主优势： 博客内容尽量做到思维缜密，逻辑清晰，为了方便读者。r/>⛳️座右铭：行百里者，半于九十。

本代码探索了普遍逼近定理，该定理指出，单层“人工神经元”可以用来逼近任何函数，具有任意小的逼近误差。这个项目通过视觉辅助工具提供了定理的直观证明。该项目允许用户改变不同的网络参数，以近似任意函数f（x）。​

​

主函数部分代码：

function [varargout] = requiredToolboxes(mfiles, levels)​if nargin < 1 mfiles = 'imshow.m';endif nargin < 2 levels = 3;end​% Get the first level of files[files builtins classes] = depfun(mfiles,'-toponly','-quiet');% Initial list of all required filesreqFiles = union(files, classes);for i = 2:levels [files builtins classes] = depfun(files,'-toponly','-quiet'); % Update the list of all required files reqFiles = union(reqFiles,union(files, classes));end​% Parse the list of required files to determine what toolboxes they are fromreqToolboxFolders = {};for i = 1:length(reqFiles) remain = reqFiles{i};​ toolbox = ''; while true [str, remain] = strtok(remain, filesep); if isempty(str), break; end if strcmpi(str,'toolbox') toolbox = strtok(remain, filesep); break; end end if ~isempty(toolbox) reqToolboxFolders = union(reqToolboxFolders,toolbox); endend​baseMATLABFolders = {'matlab','shared','local'};reqAddonToolboxes = setdiff(reqToolboxFolders,baseMATLABFolders);​if nargout == 0 if ~isempty(reqAddonToolboxes) disp('Required toolboxes:') cellfun(@disp,reqAddonToolboxes) else disp('Only base MATLAB is required') endelse if nargout >= 1 varargout{1} = reqAddonToolboxes; end if nargout >= 2 varargout{2} = reqFiles; endend

[1]南东. RBF和MLP神经网络逼近能力的几个结果[D].大连理工大学,2007.

​