Identifikasi Pola Iris Menggunakan Metode Backpropagation

Authors

  • Yoan Elviralita
  • Asrul Hidayat

DOI:

https://doi.org/10.33504/manutech.v8i02.21

Keywords:

Neural Networks, backpropagation

Abstract

In recent years, there has been a lot of research related to pattern recognition is conducted to identify various forms of patterns and controlling system. Utilizing backpropagation neural network in pattern identifying is very useful to solve problems with unknown parameter and difficult to determined. And then the data of the pattern are trained and tested. The results obtained from the recognition rate indicates a backpropagation neural network, provide excellent performance, which is an average of 98%. This neural network is expected to be developed by other researchers for the advancement of knowledge in all fields.

Downloads

Download data is not yet available.

References

[1] http://en.wikipedia.org/wiki/iris_flower_data_set
[2] Benyamin Kusumoputro, “Jaringan Neural Network”, (Depok: Universitas Indonesia), hal 3-4.

Downloads

Published

2019-05-07

How to Cite

Elviralita, Y., & Hidayat, A. (2019). Identifikasi Pola Iris Menggunakan Metode Backpropagation. Manutech : Jurnal Teknologi Manufaktur, 8(02), 43-48. https://doi.org/10.33504/manutech.v8i02.21