MODEL HYBRID JARINGAN SYARAF BACKPROPAGATION DAN REGRESI FUZZY UNTUK PERAMALAN DATA TIME SERIES
In this thesis hybrid models Backpropagation of neural network and fuzzy regression model are formed to improve the effectiveness of the performance of fuzzy regression models using Backpropagation of neural network performance for forecasting the case of incomplete data or the use of data in very s...
Main Authors: | , Winna leon Agusta, , Prof. Drs. H.Subanar, Ph.D |
---|---|
Format: | Thesis |
Published: |
[Yogyakarta] : Universitas Gadjah Mada
2013
|
Subjects: |
Similar Items
-
PERAMALAN TIME SERIES MENGGUNAKAN ANSAMBEL JARINGAN SYARAF
by: , IMELDA SALUZA, et al.
Published: (2011) -
PERAMALAN KAUSAL INFLASI DI INDONESIA MENGGUNAKAN JARINGAN SYARAF TIRUAN BERTIPE BACKPROPAGATION
by: , MUKLIS SETYAWAN, et al.
Published: (2014) -
ALGORITMA RESILIENT
UNTUK MEMPERCEPAT PEMBELAJARAN BACKPROPAGATION
PADA PERAMALAN DATA TIME SERIES
by: , Dra. Wellie Sulistijanti, et al.
Published: (2012) -
APLIKASI METODE REGRESI DAN JARINGAN SYARAF
TIRUAN UNTUK KAJIAN HKSA INSEKTISIDA
TURUNAN FTALAMIDA
by: , Adi Syahputra, et al.
Published: (2013) -
KLASIFIKASI POLA SIDIK JARI MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATION
by: , Sulistiyasni, et al.
Published: (2013)