GENERAL REGRESSION NEURAL NETWORK (GRNN) PADA PERAMALAN DATA TIME SERIES
General Regression Neural Network (GRNN) is one method that was developed from the concept of artificial neural network that can be used for forecasting. This method was applied to predict the time series data that has a causal relations where the forecasting method used previously (ARIMA BOXJenkins...
Saved in:
Main Authors: | , Luh Putu Widya Adnyani, , Prof. Drs. H. Subanar, Ph.D |
---|---|
格式: | Theses and Dissertations NonPeerReviewed |
出版: |
[Yogyakarta] : Universitas Gadjah Mada
2012
|
主題: | |
在線閱讀: | https://repository.ugm.ac.id/99085/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=55212 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Universitas Gadjah Mada |
相似書籍
-
WAVELET NEURAL NETWORKS UNTUK PERAMALAN DATA TIME SERIES FINANSIAL
由: , Subanar
出版: (2009) -
Algoritma levenberg marquardt untuk training feedforward neural network pada peramalan data time series
由: , HENDIKAWATI, Putriaji, et al.
出版: (2010) -
PENERAPAN MODEL ARIMA-NEURAL NETWORK HYBRID UNTUK
PERAMALAN TIME SERIES
由: , ENSIWI MUNARSIH, et al.
出版: (2011) -
ALGORITMA BACKPROPAGATION ADAPTIVE NEURAL NETWORK
DENGAN LAJU PEMBELAJARAN OPTIMAL DAN MOMENTUM
FAKTOR PADA PERAMALAN DATA TIME SERIES
由: , NURJANA BUAMONA, et al.
出版: (2012) -
Neural network dan model Arima untuk peramalan data finansial
由: , WAHYUNI, Rika, et al.
出版: (2005)