wrapmat.m
来自「智能优化算法: 粒子群优化算法(PSO)应用于神经网络优化程序。分为无隐含层、」· M 代码 · 共 37 行
M
37 行
function [varargout]=wrapmat(in,r,c)
% WRAPMAT
% converts a single row vector to one or more
% RxC matrices
%
% usage:
% [M1,M2,...,MD]=WRAPMAT(O,R,C)
%
% input:
% O = row vector to matricize
% R = row vector of row sizes for each input matrix
% C = row vector of column sizes for each input matrix
%
% note: the sum of rows*columns must be the same
% as the total length of the vector O
% or in other words: the length of the R and C vectors
% must be equal to each other and the number of output
% matrices you want
%
% output:
% M1,M2,....,MD = various sized matrices formed
%
% See also: UNWRAPMAT
% Brian Birge
% Rev 1.0
% 7/25/01
if nargin<3
error('Not enough input arguments.');
end
for k=1:nargout
varargout{k}=reshape(in(1:r(k)*c(k)),r(k),c(k));
in=in(r(k)*c(k)+1:end);
end
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