Penggunaan Jaringan Fungsi Basis Radial Pada Pemodelan Ionosfer Di Atas Sumedang

Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/87507

Full metadata record

DC Field	Value	Language
dc.contributor.author	Anisa	-
dc.contributor.author	Siswadi	-
dc.contributor.author	Budi suharjo	-
dc.contributor.author	Buldan Muslim	-
dc.date.accessioned	2017-07-18T08:10:20Z	-
dc.date.available	2017-07-18T08:10:20Z	-
dc.date.issued	2006-01-12	-
dc.identifier.citation	Jurnal Forum Pascasarjana Vol. 29, No. 1, Januari 2006	id
dc.identifier.issn	0126-1886	-
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/87507	-
dc.description.abstract	Radial basis function network, recognized as JFBR, is one of the methods or model used to predict any data or to classify the pattern and also is one of the methods of modeling and forecasting in neural network. JFBR is also a model which is used to overcome the probleme of unlinear and uncomplete data. This research aims to prdict the input- ouput parameter ionosfhere forF2 layar one day ahead for 1997-2003 data Sumedang, using JFBR by watching the accuration of fredictio, signed by small deviation value of MAD.	id
dc.description.sponsorship	IPB	id
dc.language.iso	id	id
dc.publisher	Sekolah Pasca Sarjana IPB	id
dc.relation.ispartofseries	Volume 29;No. 1, Hal. 37-51	-
dc.subject.ddc	Penggunaan Jaringan Fungsi Basis Radial Pada Pemodelan Ionosfer Di Atas Sumedang	id
dc.title	Penggunaan Jaringan Fungsi Basis Radial Pada Pemodelan Ionosfer Di Atas Sumedang	id
dc.type	Article	id
dc.subject.keyword	ionosphere, radial basis function network, prediction	id
Appears in Collections:	Mathematics

Files in This Item:

File	Size	Format
scan0571 Jurnal Forum Pasca IPB (BSH).pdf	4.26 MB	Adobe PDF	View/Open

DSpace JSPUI