load_session_snn.m

来自「神经网络的工具箱, 神经网络的工具箱,」· M 代码 · 共 46 行

function h = load_session_snn(filename, fig)

if isempty(find(filename == '.'))
  filename = [filename '.snn'];
end

fileVars = load(filename, '-mat'); %% no support for '-mat' in compiler 2.0
%fileVars = load(filename);
varNames = fieldnames(fileVars);
index = strmatch('hgS', varNames);
if length(index) ~= 1
  error('invalid Figure file format');
end

varName = varNames{index};
versionStr = varName(find(varName == '_')+1:end);
versionNum = str2double(versionStr);

if versionNum > 50200
  fileVersion = sprintf('%d.%d.%d', str2double(versionStr(1:2)), ...
      str2double(versionStr(3:4)), str2double(versionStr(5:6)));
  warning(['Figure file created with a newer version (' fileVersion ')  of MATLAB']);
end

hgS = getfield(fileVars, varNames{index});

if (~strcmp(hgS.type, 'figure')) 
   error('invalid Figure file format');
end

Hall = findobj(fig);
delete(setdiff(Hall, fig));

set(fig, 'UserData', hgS.properties.UserData);

CH = prod(size(hgS.children));
for ch = 1:CH
    h = struct2handle(hgS.children(ch), fig, 'convert');
end

set(fig,'FileName', filename);
set(fig, 'MenuBar', 'none');
set(fig, 'name', ['SNN - ' filename] , 'numbertitle', 'off');