Vote for your favorite mineral in #MinCup25! - Jeremejevite vs. Haüyne
Are you ready for a battle of the blues? In a match of newcomers, volcanic gem hauyne is taking on rare jeremejevite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Fallah-Ghalhary, G.A., Mousavi-Baygi, M., Habibi-Nokhandan, M. (2009) Seasonal Rainfall Forecasting Using Artificial Neural Network. Journal of Applied Sciences, 9. 1098-1105 doi:10.3923/jas.2009.1098.1105

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleSeasonal Rainfall Forecasting Using Artificial Neural Network
JournalJournal of Applied Sciences
AuthorsFallah-Ghalhary, G.A.Author
Mousavi-Baygi, M.Author
Habibi-Nokhandan, M.Author
Year2009 (June 1)Volume9
PublisherScience Alert
DOIdoi:10.3923/jas.2009.1098.1105Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID10341118Long-form Identifiermindat:1:5:10341118:9
GUID0
Full ReferenceFallah-Ghalhary, G.A., Mousavi-Baygi, M., Habibi-Nokhandan, M. (2009) Seasonal Rainfall Forecasting Using Artificial Neural Network. Journal of Applied Sciences, 9. 1098-1105 doi:10.3923/jas.2009.1098.1105
Plain TextFallah-Ghalhary, G.A., Mousavi-Baygi, M., Habibi-Nokhandan, M. (2009) Seasonal Rainfall Forecasting Using Artificial Neural Network. Journal of Applied Sciences, 9. 1098-1105 doi:10.3923/jas.2009.1098.1105
In(n.d.) Journal of Applied Sciences Vol. 9. Science Alert

See Also

These are possibly similar items as determined by title/reference text matching only.

Fallah-Ghalhary, Gholam Abbas, Habibi-Nokhandan, Majid, Mousavi-Baygi, Mohammad, Khoshhal, Javad, Shaemi Barzoki, Akbar (2010) Spring rainfall prediction based on remote linkage controlling using adaptive neuro-fuzzy inference system (ANFIS). Theoretical and Applied Climatology, 101 (1). 217-233 doi:10.1007/s00704-009-0194-x
Fallah-Ghalhary, Gholam Abbas, Habibi-Nokhandan, Majid, Mousavi-Baygi, Mohammad, Khoshhal, Javad, Shaemi Barzoki, Akbar (2010) Erratum to: Spring rainfall prediction based on remote linkage controlling using adaptive neuro-fuzzy inference system (ANFIS). Theoretical and Applied Climatology, 101 (1). 235 doi:10.1007/s00704-009-0217-7
Shabri, A., Samsudin, R., Ismail, Z. (2009) Forecasting of the Rice Yields Time Series Forecasting using Artificial Neural Network and Statistical Model. Journal of Applied Sciences, 9. 4168-4173 doi:10.3923/jas.2009.4168.4173
Valipour, M., Banihabib, M.E., Behbahani, S.M.R. (2012) Monthly Inflow Forecasting using Autoregressive Artificial Neural Network. Journal of Applied Sciences, 12. 2139-2147 doi:10.3923/jas.2012.2139.2147
Gholizadeh, M.H., Darand, M. (2009) Forecasting Precipitation with Artificial Neural Networks (Case Study: Tehran). Journal of Applied Sciences, 9. 1786-1790 doi:10.3923/jas.2009.1786.1790
Gholizadeh, M.H., Darand, M. (2009) Forecasting the Air Pollution with using Artificial Neural Networks: The Case Study; Tehran City. Journal of Applied Sciences, 9. 3882-3887 doi:10.3923/jas.2009.3882.3887
S. Ibrehem, Ahmmed, A. Hussain, Mohamed (2009) Prediction of Bubble Size in Bubble Columns using Artificial Neural Network. Journal of Applied Sciences, 9. 3196-3198 doi:10.3923/jas.2009.3196.3198
Solaimani, Karim, Darvari, Zahra (2008) Suitability of Artificial Neural Network in Daily Flow Forecasting. Journal of Applied Sciences, 8. 2949-2957 doi:10.3923/jas.2008.2949.2957
S. Mousavi, S., Shahrabi, J., Heydar, M. (2009) Supply Chain Demand Forecasting; A Comparison of Machine Learning Techniques and Traditional Methods. Journal of Applied Sciences, 9. 521-527 doi:10.3923/jas.2009.521.527
Bozdemir, M., Golcu, M. (2008) Artificial Neural Network Analysis of Springback in V Bending. Journal of Applied Sciences, 8. 3038-3043 doi:10.3923/jas.2008.3038.3043
Samsudin, R., Shabri, A., Saad, P. (2010) A Comparison of Time Series Forecasting using Support Vector Machine and Artificial Neural Network Model. Journal of Applied Sciences, 10. 950-958 doi:10.3923/jas.2010.950.958
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 3, 2025 09:57:05
Go to top of page