Selection of the Robust Streamflow Forecasting Model Using Wavelet-Entropy Complexity Criterion
Publish place: 10th International Congress on Civil Engineering
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 837
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICCE10_0792
تاریخ نمایه سازی: 19 تیر 1394
Abstract:
As one of the most important hydrological processes, Runoff modeling is highly dominant in accurate study of a watershed. Many models are yet being developed in order to define such a complex process, therefore using a measure to scope relative complexity of a watershed results in choosing more appropriate model related to its characteristics. In this study, the runoff process of five different watersheds, which are different in land use, population growth and complexity, are modeled. In order to consider relative complexities, Wavelet-Entropy measure is introduced as a new complexity measurement tool. It is deduced that only in areas with higher complexity levels, Complex modeling structures are needed (such as ANN and WANN) and in those with respective lower wavelet-entropy measure, auto-regressive models (such as ARIMA and ARIMAX) can be consumed efficiently, therefore using complex models are not necessary
Keywords:
Authors
Vahid Nourani
Professor, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran
Faranak Tootoonchi
M.Sc. Student, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :