MATLAB: How to discard unsaved changes to a Data Dictionary

datadeletedictionarydiscarddiscardchangessimulinkunsaved

How to discard unsaved changes to a Data Dictionary?

Best Answer

In the tempdir there is an SLDDC file that stores the changes that have not been saved to the SLDD file. If MATLAB crashes, we are able to use this file and restore the pending changes.

To instead discard the changes you should open the Data Dictionary and discard the changes with "discardChanges":

>> h = Simulink.data.Dictionary.open('myDictionary.sldd')
>> h.discardChanges

Notice that the property HasUnsavedChanges goes from true to false. Please refer to this link for more information:

http://www.mathworks.com/help/simulink/slref/simulink.data.dictionary.discardchanges.html

Related Solutions

MATLAB: Unrecognized function or variable ‘filenames’. Error in pelatihan_sistem (line 6) [jumlah_data] = numel(filenames);

One issue already pointed out by Sriram in the comment. You need to make following modification to your code

clc; clear; close all;
% membaca file citra dalam folder
image_folder ='data latih';
filenames = dir(fullfile(image_folder,   '*.jpg'));  % <<------- change filename to filenames
[jumlah_data] = numel(filenames);
% menginiliasisasi variabel data_latih
data_latih = zeros(jumlah_data,5);
% proses ekstraksi ciri orde satu
for k = 1:jumlah_data
    full_name = fullfile(image_folder, filenames(k).name);
    Img = imread(full_name);
    Img = rgb2gray(Img);
    H = imhist(Img)';
    H = H/sum(H);
    I = (0:255);
    CiriMEAN = I * H;
    CiriENT = -H * log2(H+eps)';
    CiriVAR = (I-CiriMean).^2*H';
    CiriSKEW = (I-CiriMean).^3*H'/ CiriVAR^1.5;
    CiriKURT = (I-CiriMean).^4*H'/ CiriVAR^2-3;
    data_latih(k,:) = [CiriMEAN,CiriENT,CiriVAR,CiriSKEW,CiriSKURT];
end
% penentuan nilai target untuk masing-maisng jenis bunga
target_latih = zeros(1,jumlah_data); %% <<------- change zero to zeros
target_latih(1:6) = 1; %kamboja_biasa
target_latih(7:12) = 2; %kamboja_merah
target_latih(13:18) = 3; %kamboja_plumeriapudica
target_latih(19:24) = 4; %melati-gambir
target_latih(25:30) = 5; %melati_kuning
% pelatihan menggunakan algoritma multivism
output = multivsm(data_latih,target_latih,data_latih);
%menghitung nilai akurasi pelatihan
[n,~] = find(targer_latihan==output');
jumlah_benar = sum(n);
akurasi = jumlah_benar/jumlah_data*100;
% menyimpan variabel data_latih dan target_latih
save data_latih data_latih
save target_latih target_latih

MATLAB: (Second File) Line 6 : The function return value “jumlah_data” might be unset and the function “numel” might be unused . Line 23 . Line 35. Line 38 . Line 39 . Line 47

% membaca file citra dalam folder
image_folder ='data uji';
filename = dir(fullfile(image_folder,   '*.jpg'));
jumlah_data = numel(filenames);
% menginiliasisasi variabel data_latih
data_latih = zeros(jumlah_data,5);
% proses ekstraksi ciri orde satu
for k = 1:jumlah_data
    full_name = fullfile(image_folder, filenames(k).name);
    Img = imread(full_name);
    Img = rgb2gray(Img);
    H = imhist(Img)';
    H = H/sum(H);
    I = (0:255);
    CiriMEAN = I * H;
    CiriENT = -H * log2(H+eps)';
    CiriVAR = (I-CiriMean).^2*H';
    CiriSKEW = (I-CiriMean).^3*H'/ CiriVAR^1.5;
    CiriKURT = (I-CiriMean).^4*H'/ CiriVAR^2-3;
    data_latih(k,:) = [CiriMEAN,CiriENT,CiriVAR,CiriSKEW,CiriSKURT];
end
% penentuan nilai target untuk masing-maisng jenis bunga
target_latih = zero(1,jumlah_data);
target_latih(1:6) = 1; %kamboja_biasa
target_latih(7:12) = 2; %kamboja_merah
target_latih(13:18) = 3; %kamboja_plumeriapudica
target_latih(19:24) = 4; %melati-gambir
target_latih(25:30) = 5; %melati_kuning
% pelatihan menggunakan algoritma multivism
output = multivsm(data_latih,target_latih,data_latih);
[n,~] = find(targer_latih==output');
jumlah_benar(1) = sum(n);
akurasi(1) = jumlah_benar(1)/jumlah_data*100;
% load data_latih dan target_latih hasil pelatihan
dl = load('data_latih');
tl = load('target_latih');
% pengujian menggunakan algoritma multivsm
output = multivsm(dl.data_latih,tl.target_latuh,data_uji);
%menghitung nilai akurasi pelatihan
[n,~] = find(targer_latihan==output');
jumlah_benar(2) = sum(n);
akurasi(2) = jumlah_benar(2)/jumlah_data*100;

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Related Solutions

MATLAB: Unrecognized function or variable ‘filenames’. Error in pelatihan_sistem (line 6) [jumlah_data] = numel(filenames);

MATLAB: (Second File) Line 6 : The function return value “jumlah_data” might be unset and the function “numel” might be unused . Line 23 . Line 35. Line 38 . Line 39 . Line 47

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