ALGORITMA RESILIENT UNTUK MEMPERCEPAT PEMBELAJARAN BACKPROPAGATION PADA PERAMALAN DATA TIME SERIES
Neural Networks training algorithm using the Resilient algorithm was developed to overcome the weakness of Gradient Descent algorithm to change the network weights and biases according to the bahavior of the gradient of each iteration of training by using only sign alone derivatives. Sign of this de...
Saved in:
Main Authors: | , Dra. Wellie Sulistijanti, , Prof. Drs. H. Subanar, Ph.D |
---|---|
Format: | Theses and Dissertations NonPeerReviewed |
Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
|
Subjects: | |
Online Access: | https://repository.ugm.ac.id/100985/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=58000 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universitas Gadjah Mada |
Similar Items
-
ALGORITMA BACKPROPAGATION ADAPTIVE NEURAL NETWORK
DENGAN LAJU PEMBELAJARAN OPTIMAL DAN MOMENTUM
FAKTOR PADA PERAMALAN DATA TIME SERIES
by: , NURJANA BUAMONA, et al.
Published: (2012) -
MODEL HYBRID JARINGAN SYARAF BACKPROPAGATION DAN
REGRESI FUZZY UNTUK PERAMALAN DATA TIME SERIES
by: , Winna leon Agusta, et al.
Published: (2013) -
Algoritma levenberg marquardt untuk training feedforward neural network pada peramalan data time series
by: , HENDIKAWATI, Putriaji, et al.
Published: (2010) -
WAVELET NEURAL NETWORKS UNTUK PERAMALAN DATA TIME SERIES FINANSIAL
by: , Subanar
Published: (2009) -
Identifikasi Model untuk Peramalan Penyebaran Penyakit DIfteri Menggunakan Algoritma Kelelawar dan Jaringan Syaraf Backpropagation
by: Nurul Laili Hidayati
Published: (2020)