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<strong>Investigation on the Classification Accuracy of Harmonic Signal Detection by Artificial Neural Network</strong>

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Title Statement <strong>Investigation on the Classification Accuracy of Harmonic Signal Detection by Artificial Neural Network</strong>
 
Added Entry - Uncontrolled Name Bora, Archana ; Gauhati University
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Uncontrolled Index Term specific instrumentation and techniques of general use in physics, elementary particles and fields, nuclear physics, atomic and molecular physics, fundament
Artificial neural network (ANN); Harmonic signals; Detection accuracy
 
Summary, etc. Harmonic signals are produced by many natural sources as well as man-made sources. The detection of the harmonic signal can reveal a lot about the physical system. Various Fourier harmonic analysis based numerical methods are commonly used to detect such signals. However, recently there has been considerable interest in other non-Fourier-based methods as well, to determine the harmonics. In the present work we have studied the application of artificial neural network based machine learning in frequency identification of sinusoidal signals. We considered training sets comprising harmonic signals with randomised phase or randomised amplitude or combination of the both. Based on such training sets the trained network is then applied to detect the frequency of unknown harmonics. Here we performed an investigation on the relative advantages of the network trained using sets of harmonic signals with different features.
 
Publication, Distribution, Etc. Indian Journal of Pure & Applied Physics (IJPAP)
2022-10-07 16:30:27
 
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http://op.niscair.res.in/index.php/IJPAP/article/view/63915
 
Data Source Entry Indian Journal of Pure & Applied Physics (IJPAP); ##issue.vol## 60, ##issue.no## 10 (2022): Indian Journal of Pure & Applied Physics
 
Language Note en
 
Nonspecific Relationship Entry http://op.niscair.res.in/index.php/IJPAP/article/download/63915/465611654
http://op.niscair.res.in/index.php/IJPAP/article/download/63915/465611655
 
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