Binary classification using SVM or ANN?

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Mario Grgic
Mario Grgic 2020-2-28
回答： Dinesh Yadav 2020-3-2
Hello
I have a project in which i have to create a model using either SVM or ANN metode that predicts if the symbol is zero (0) or one (1).
My input data are complex numbers. Each symbol is detetment by column of 20 complex numbers.
For instance:
1 0
-30.5946 +45.6142i -9.5504 -52.0076i
-28.2553 +41.0503i -9.9506 -47.9197i
-27.5315 +44.5150i -8.1468 -51.1290i
-31.2449 +42.1544i -9.6489 -44.7405i
-26.4084 +42.9527i -4.9537 -49.0714i
-29.0869 +42.3309i -9.2641 -44.3664i
-26.8713 +41.1549i -5.1648 -50.1355i
-25.4910 +41.5865i -12.3554 -47.2671i
-28.8041 +43.6515i -8.9379 -49.0792i
-26.9008 +39.5717i -11.2396 -54.5616i
-28.1639 +42.3321i -6.1479 -55.7859i
-34.1447 +40.4079i -6.2652 -51.2927i
-25.9209 +42.8146i -14.1721 -53.1520i
-21.8625 +41.7201i -11.8595 -56.1244i
-25.8175 +42.4621i -12.2793 -54.7263i
-29.2388 +37.0193i -7.2035 -52.2509i
-26.9880 +38.4291i -4.3028 -55.7246i
-30.9404 +40.1483i -9.4492 -50.1819i
-22.5961 +41.8203i -6.3496 -54.7031i
-25.0664 +44.7902i -7.1984 -47.8074i
If anybody can help me how to start my project or can give me a example similar to my.
Thank you

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回答（1 个）

Dinesh Yadav
Dinesh Yadav 2020-3-2
For Binary classification use SVM as it will be more efficient computationally. Try the following commands to train and classify new data.
load data.mat
SVMModel = fitcsvm(x,y);
[label,score] = predict(SVMModel, newxval);
Refer to the following links to understand more about SVM using MATLAB.
https://www.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html#responsive_offcanvas
https://www.mathworks.com/help/stats/fitcsvm.html
https://www.mathworks.com/help/stats/classreg.learning.classif.compactclassificationsvm.predict.html
As of now MATLAB does not support complex datatype for SVM classification. Go through the following link
https://www.mathworks.com/matlabcentral/answers/167988-will-the-support-vector-machine-takes-the-complex-inputs-both-real-and-imaginary-values

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