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Identification of the Flip Folder Folding Machine Using Artificial Neural Network with Nonlinear Autoregressive Exogenous Structure

Tersimpan di:
Main Authors: Prabowo, Yuliyanto Agung, Pambudi, Wahyu Setyo, Imaduddin, Ilmi Rizki
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Universitas Dr. Soetomo , 2020
Subjects:
folding machine
flip folder
dynamic system
ANN
NARX
Online Access: https://ejournal.unitomo.ac.id/index.php/inform/article/view/2743
https://ejournal.unitomo.ac.id/index.php/inform/article/view/2743/pdf
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/2743/577
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/2743/578
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/2743/579
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/2743/590
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Internet

https://ejournal.unitomo.ac.id/index.php/inform/article/view/2743
https://ejournal.unitomo.ac.id/index.php/inform/article/view/2743/pdf
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/2743/577
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/2743/578
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/2743/579
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/2743/590

Lokasi

Koleksi Jurnal INFORM
Gedung INFORM
Institusi Universitas dr. Soetomo
Kota Surabaya
Provinsi JAWA TIMUR
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Lihat Juga

  • An Implementation of Fuzzy PD Control Design for Five Flip Folders Folding Machine Using Arduino Mega2560
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  • The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level
    oleh: Faruq, Amrul, et al.
    Terbitan: (2019)
  • Neural networks and fussy systems : a dynamical systems approach to machine intelligence
    Terbitan: (1992)
  • Traffic Occupancy Prediction Using a Nonlinear Autoregressive Exogenous Neural Network
    oleh: Khaleel, Nazhon Ismael; College of Education for Women- University Of Anbar, et al.
    Terbitan: (2022)
  • Lithium-ion batteries modeling and state of charge estimation using artificial neural network
    oleh: Younes Boujoudar, et al.
    Terbitan: (2019)
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