[PDF][PDF] Multilayer perceptron based activation function on heart abnormality activity
Journal of Fundamental and Applied Sciences, 2017•ajol.info
… ed to detect the heart abnormality by using multilayer perceptron data from the
electrocardiogram (ECG) signal is extracted to be set In order to get the best result, several
activation function are used, s bipolar sigmoid, tangent hyperbolic and conic section function.
The ompared among the … CONCLUSION This research proves the capability of neural
network to classify the heart abnormality data. This research also shows that the MLP
network is capable and reliable to classify the heart abnormality based on both amplitude …
electrocardiogram (ECG) signal is extracted to be set In order to get the best result, several
activation function are used, s bipolar sigmoid, tangent hyperbolic and conic section function.
The ompared among the … CONCLUSION This research proves the capability of neural
network to classify the heart abnormality data. This research also shows that the MLP
network is capable and reliable to classify the heart abnormality based on both amplitude …
Abstract
This paper is aimed to detect the heart a network. Several data from the electrocard input parameters. In order to get the best r unipolar sigmoid, bipolar sigmoid, tangent obtained is then compared among the activ
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