prep_tst.m

这是个神经网络工具箱的一点MATALAB 程序

%   File Name      : prep_tst.m
%   Purpose        : prepare testing patterns
%   Author         : Hossam E. Mostafa Abdelbaki, School of Computer Science, 
%                    University of Centeral Florida (UCF). 
%   Release        : ver. 1.0.
%   Date           : October 1998.
%
%       RNNSIM is a software program available to the user without any 
%   license or royalty fees. Permission is hereby granted to use, copy, 
%   modify, and distribute this software for any purpose. The Author 
%   and UCF give no warranty, express, implied, or statuary for the 
%   software including, without limitation, waranty of merchantibility 
%   and warranty of fitness for a particular purpose. The software 
%   provided hereunder is on an "as is"  basis, and the Author and the 
%   UCF has no obligation to provide maintenance, support, updates, 
%   enhancements, or modifications. 
%
%       RNNSIM  is available for any platform (UNIX, PCWIN, MACHITOCH). 
%   It runs under MATLAB ver. 5.0 or highrer. 
%
%       User feedback, bugs, or software and manual suggestions can 
%   be sent via electronic mail to :   [e-mail]

%%%%%%%%%%%%Function: Preparing Inputs for Testing %%%%%%%%%%%%%%%
%####### Setting the Excitatory and Inhibitatory Training Patterns ########
N_Test_Patterns = N_Patterns;
Applied_lambda = zeros(N_Test_Patterns,N_Input);             
Applied_LAMBDA = zeros(N_Test_Patterns,N_Input);
%yyy = size(TEST_INPUT);
%N_Test_Patterns = yyy(1);
for i=1:N_Test_Patterns
   for j=1:N_Input
      if (TEST_INPUT(i,j) >= 0)
         Applied_LAMBDA(i,j) = TEST_INPUT(i,j);
      elseif(TEST_INPUT(i,j) <0)
         Applied_lambda(i,j)= -TEST_INPUT(i,j);
      end
   end
end  
   
%##### Preparing LAMBDA #################
fill = zeros(N_Test_Patterns , N_Total - N_Input);
LAMBDA=[Applied_LAMBDA fill];

%##### Preparing lambda #################
%Applied_lambda=zeros(N_Test_Patterns,N_Input);
fill = zeros(N_Test_Patterns , N_Total - N_Input);
lambda=[Applied_lambda fill];
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