Multilayer perceptron based activation function on heart abnormality activity
| Autor: | Nik Ghazali Nik Daud, Zairi Ismael Rizman, A. F. Rashidi, F.R. Hashim, A. S. N. Mokhtar, Shahril Ahmad, Ja’afar Adnan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Heart malformation
business.industry Quantitative Biology::Tissues and Organs Activation function Tangent Pattern recognition 06 humanities and the arts 02 engineering and technology Sigmoid function Function (mathematics) 0603 philosophy ethics and religion Signal Conic section Multilayer perceptron 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 060301 applied ethics Artificial intelligence business Mathematics |
| Zdroj: | Journal of Fundamental and Applied Sciences; Vol 9, No 3S (2017): Special Issue; 417-432 |
| ISSN: | 1112-9867 |
| Popis: | This paper is aimed to detect the heart abnormality by using multilayer perceptron (MLP) network. Several data from the electrocardiogram (ECG) signal is extracted to be set as the input parameters. In order to get the best result, several activation function are used, such as unipolar sigmoid, bipolar sigmoid, tangent hyperbolic and conic section function. The result obtained is then compared among the activation function techniques. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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