Minimum input variances for modelling rainfall-runoff using ANN

• المؤلفون الرئيسيون: Hassan, Zulkarnain, Shamsudin, Supiah, Harun, Sobri
• التنسيق: مقال
• اللغة: English
• منشور في: Penerbit UTM 2014
• الموضوعات: TA Engineering (General). Civil engineering (General)
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/54114/1/ZulkarnainHassan2014_Minimuminputvariancesformodelling.pdf; http://eprints.utm.my/id/eprint/54114/; http://dx.doi.org/10.11113/jt.v69.3154

This paper presents the study of possible input variances for modeling the long-term runoff series using artificial neural network (ANN). ANN has the ability to derive the relationship between the inputs and outputs of a process without the physics being provided to it, and it is believed to be more...