wcfdata_struct_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 wcfdata_struct = wcfdata_struct_snn(P, T, gmu, Delta)
%WCFDATA_STRUCT_SNN Create wcfdata_struct.
%
%Syntax
%
%  wcfdata_struct = wcfdata_struct_snn(P, T)
%  wcfdata_struct = wcfdata_struct_snn(P, T, gmu)
%  wcfdata_struct = wcfdata_struct_snn(P, T, gmu, Delta)
%
%Description
%
%  WCFDATA_STRUCT_SNN stores a training data set in a wcfdata_struct that 
%  can be used as an input for WCF_SNN.
%
%  WCFDATA_STRUCT_SNN(P, T, gmu, Delta) takes
%   P              - N0 x MU matrix of inputs
%   T              - NL x MU matrix of targets
%   gmu            - 1 x MU matrix of pattern weights 
%                    [optional; default is empty; empty is interpreted
%                    as all patterns have equal weight]  
%   Delta          - NL x MU matrix. Mask controlling weighted average.
%                    0 indicates the output variable/pattern combination is 
%                    not used in weighted average and 1 it is. 
%                    [optional; default is empty; empty is interpreted 
%                    as use all combinations]   
%  and returns 
%   wcfdata_struct - a wcfdata_struct.
%
%  (N0 = #inputs; NL = #output variables; MU = #patterns)
%
%See also
%
%  WCF_SNN, IMPORT_ASCII_DATA_SNN
%

wcfdata_struct.P = P;
wcfdata_struct.T = T;
if (nargin > 2)
   wcfdata_struct.gmu = gmu;
end
if (nargin > 3)
   wcfdata_struct.useT = Delta;
end