Kajian Literatur Multi Layer Perceptron Seberapa Baik Performa Algoritma Ini

Penulis

  • Doughlas Pardede Universitas Potensi Utama
  • B.Herawan Hayadi Universitas Potensi Utama
  • Iskandar Universitas Pembangunan Panca Budi

DOI:

https://doi.org/10.56313/jictas.v1i1.127

Kata Kunci:

prediction, classification, multi layer perceptron, performance

Abstrak

Multi Layer Perceptron (MLP), one of the deep learning algorithms, has been widely used in classification problem research because it has advantages over other conventional classification methods. This study takes 15 articles that have been published in research journals regarding the application of the multi-layer perceptron algorithm to prediction and classification problems. From the results of the analysis carried out, the results show that the lowest performance value of this algorithm is 62.89%, the highest performance value of this algorithm is 100% and the average performance value of this algorithm is 91.98%. From these values, it can be concluded that the multi layer perceptron algorithm is very good and feasible to be used in solving prediction and classification problems

Diterbitkan

2022-06-03

Cara Mengutip

Pardede, D., Hayadi, B., & Iskandar. (2022). Kajian Literatur Multi Layer Perceptron Seberapa Baik Performa Algoritma Ini. JOURNAL OF ICT APLICATIONS AND SYSTEM, 1(1), 23 -35. https://doi.org/10.56313/jictas.v1i1.127