MATLAB: How to use Pattern Recognition (Inputs and targets have different numbers of samples.)

classificationpattern recognitionpatternetrecognition

Hello.

I tested this link https://www.mathworks.com/help/deeplearning/ref/patternnet.html

I have a dataset

x(data) = 90 x 2856

t(target) = 90 x 1

Could you explain how I can solve this error?

clear all
close all
x = readmatrix('final_3000_data.csv');
t = readmatrix('final_3000_nor_target.csv');
net = patternnet(10);
net = train(net,x,t);
view(net)
y = net(x);
perf = perform(net,t,y);
classes = vec2ind(y);

Best Answer

Hiii,

Refer to below link (focus on 'preparing the data')

https://www.mathworks.com/help/deeplearning/ug/crab-classification.html

Related Solutions

MATLAB: How to get validation test and training errors of a neural network

BOTH documentation commands

 help patternnet
and
 doc patternnet

have the following sample code for CLASSIFICATION & PATTERN-RECOGNITION:

    [x,t] = iris_dataset;
     net  = patternnet(10);
     net  = train(net,x,t);
     view(net)
     y = net(x);
     perf = perform(net,t,y);
     classes = vec2ind(y);

However, the following are missing

 1. Dimensions of x and t 
 2. Plots of x, t, and t vs x
 3. Minimum possible number of hidden nodes
 4. Initial state of the RNG (Needed for duplication)
 5. Training record, tr
 6. Plots of e = y-t vs x
 7. Misclassified cases
 8. trn/val/tst Error rates

For details see my NEWSGROUP posts

 SIZES OF MATLAB CLASSIFICATION EXAMPLE DATA SETS
http://www.mathworks.com/matlabcentral/newsreader/...
       view_thread/339984
 and
 BEYOND THE HELP/DOC DOCUMENTATION : PATTERNNET for 
 NN Classification and PatternRecognition
 http://www.mathworks.com/matlabcentral/newsreader/...
     view_thread/344832

Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: What is the default supervised learning algorithm in matlab

All of the net properties can be deduced via

 net = net   % No semicolon