Building an Neural network with multiple inputs

44 Ansichten (letzte 30 Tage)
Ditf
Ditf am 29 Dez. 2020
Kommentiert: Image Analyst am 2 Jan. 2021
hi, Matlab Newbie
i have to create an Artificial Neural Network to classify using this datatset https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original)
it take 10 input to one output
this is my code, i keep getting the error of " input and outputs have different samples" i know it is because i have 10 inputs and one 1 input but how can i fix it as i need all the 10 inputs?
close all
clear
clc
opts = detectImportOptions('breast-cancer-wisconsin.data', 'filetype','text');
BCTable = readtable('breast-cancer-wisconsin.data',opts);
InputVariable = table2array(BCTable(:,1:10));
OutputVariable = table2array(BCTable(:,11));
net = feedforwardnet(10, 'trainlm');
net = configure (net, InputVariable,OutputVariable);
[net,tr] = train(net,InputVariable, OutputVariable);

Akzeptierte Antwort

Ameer Hamza
Ameer Hamza am 29 Dez. 2020
The 10 in the line
feedforwardnet(10, 'trainlm');
have nothing to do with the number of inputs. You can put any number here. It is the number of hidden neurons in the first layer. The actual issue is the orientation of InputVariable and OutputVariable. MATLAB expects that each column of the input matrix contains a sample, and the number of columns is equal to the total number of samples. Similar is required for the output matrix. However, in your case, the samples are arranged row-wise. Just take the transpose of these matrices.
net = configure (net, InputVariable.',OutputVariable.');
[net,tr] = train(net, InputVariable.', OutputVariable.');
  2 Kommentare
Ditf
Ditf am 29 Dez. 2020
Bearbeitet: Ditf am 29 Dez. 2020
thank you so much, been stuck at it all day.
Ameer Hamza
Ameer Hamza am 29 Dez. 2020
I am glad to be of help! :)

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (0)

Kategorien

Mehr zu Sequence and Numeric Feature Data Workflows finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by