The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak
Multilayer perceptron network (MLP) has been recognized as a powerful tool for many applications including classification. Selection of the activation functions in the multilayer perceptron (MLP) network plays an essential role on the network performance. This paper presents comparison study of diff...
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| Auteurs principaux: | , , , , |
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| Format: | Livre |
| Publié: |
Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA),
2012.
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| Accès en ligne: | Link Metadata |
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