Support Vector Machine

A Comparison of Artificial Neural Network (ANN) and Support Vector Machine (SVM) Classifiers for Neural Seizure Detection

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Elgammal, M, et al., "A Comparison of Artificial Neural Network (ANN) and Support Vector Machine (SVM) Classifiers for Neural Seizure Detection". IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) 2019, 646. In this paper, two different classifiers are software and hardware implemented for neural seizure detection. The two techniques are support vector machine(SVM) and artificial neural networks(ANN). The two techniques are pretrained on software and only the classifiers are hardware implemented and tested. A comparison of the two techniques is performed on the levels

Fault Identification of Photovoltaic Array Based on Machine Learning Classifiers

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The Solar Photovoltaic (PV) industry has experienced significant growth over the past years due to the technology’s clear economic and environmental benefits. The world’s net electricity generation from grid-connected PV systems is expected to rise. Although PV systems don’t incorporate moving parts and usually require low maintenance, they are still subjected to diverse faults across the various system components. Proper fault detection and/or identification is thus necessary to avoid significant energy generation loss and large capital expenditures. Fault identification in Photovoltaic array