www.gusucode.com > nnet 工具箱 matlab 源码程序 > nnet/+nnet/+internal/+configure/input.m
function net = input(net,i,x) %NNET.INTERNAL.CONFIGURE.INPUT % Copyright 2010-2015 The MathWorks, Inc. % Input Data if nargin < 3 if ~isempty(net.inputs{i}.exampleInput) % NNET 6.0 Compatibility x = net.inputs{i}.exampleInput; else x = net.inputs{i}.range; end else if ~isempty(net.inputs{i}.exampleInput) % NNET 6.0 Compatibility net.inputs{i}.exampleInput = nnet.array.safeGather(x); end end % Configure Size net.inputs{i}.size = size(x,1); net.inputs{i}.range = nnet.array.safeGather(minmax(x)); % Configure Processing numProcess = length(net.inputs{i}.processFcns); processFcns = net.inputs{i}.processFcns; processParams = net.inputs{i}.processParams; net.inputs{i}.processSettings = cell(1,numProcess); for j=1:numProcess [x,config] = feval(processFcns{j},x,processParams{j}); net.inputs{i}.processSettings{j} = config; end % Configure Size net.inputs{i}.processedSize = size(x,1); net.inputs{i}.processedRange = nnet.array.safeGather(minmax(x)); % Configure Dependent Weights layerToInd = find(net.inputConnect(:,i))'; for j = layerToInd net = nnet.internal.configure.inputWeight(net,j,i,x); end