How do i fix error : 'model' parameter must be a character vector?

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Bonaventura Sanjoyo 2019-8-15

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/476289-how-do-i-fix-error-model-parameter-must-be-a-character-vector

评论： Walter Roberson 2020-8-12

Hi everyone, sorry for asking this silly question. since i'm really new in nn matlab, i'm having difficulties to implement nn in matlab. so that you all can understand the bigger picture of what trouble i might have come across, i'm gonna give it in details.

first that i have data in xls document, each xls document contain 24 rows of data with 3 parameters (perimeter, diameter and area) of fruit database. this data is already a post-processed image (from preprocessing i saved the data in excel). then i normalized the data,

data1 = data1';
max_data = max(max(data1));
min_data = min(min(data1));
[m,n] = size(data1);
data_norm = zeros(m,n);
for x = 1:m
    for y = 1:n
        data_norm(x,y) = 0.1+0.8*(data1(x,y)-min_data)/(max_data-min_data);
    end
end

afterward i use patternnet to train my data so that it can identify what kind of fruit i input to the gui system. it roughly like this :

net.trainFcn = 'trainlm';
net = patternnet(100, 'trainlm');
net.trainParam.epochs = 1000;
net.trainParam.goal = 1e-5;
net.divideFcn = 'dividerand';            % num of data that'll be divide
net.divideParam.trainRatio = 70/100;     % training set
net.divideParam.valRatio = 15/100;       % validation set
net.divideParam.testRatio = 15/100;      % testing set
net = init(net);
[net,tr] = train(net, data_norm,group);
y = sim(net, data_norm);
....
    
%then classification from input and net to get classification fruit class...
....
result = round(sim(y,sample));
....
switch result
    case 0
        class='Firm';
    case 1
        class='Ripe';
    case 2
        class='Overripe';
end

so, i assume that from normalising the data, making the shape of the data change. How do i fix this? i search it online on MATLABanswers forum and someone have the same problem (not really the same) and the suggestion is this

https://www.mathworks.com/matlabcentral/answers/413288-out-sim-net-test1-model-parameter-must-be-a-character-vector-what-is-the-erroe#answer_381132

but when i try it, my nn doesn't want to run and didn't display the nntraintool. What should i do to fix it?

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Walter Roberson 2019-8-15

Which MATLAB version are you using?

Bonaventura Sanjoyo 2019-8-16

i'm currently using the 2017a version one.

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Answer 1

Walter Roberson 2019-8-16

1
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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/476289-how-do-i-fix-error-model-parameter-must-be-a-character-vector#answer_387913

在 MATLAB Online 中打开

[net,tr] = train(net, data_norm,group);
y = sim(net, data_norm);

y is going to be numeric and the same size as group

result = round(sim(y,sample));

There you are sim() on that numeric value. You need to sim() on a network.

You do not need to sim() on the original data unless you want to cross-check the accuracy of the network. The train() call already returns a network that knows the (approximate) classification rules, so you would

result = round(sim(net,sample));