يعتبر التبخر- نتح أحد المكونات الهامة في الدورة الهيدرولوجية، و تعد القدرة على
التنبؤ الدقيق بقيم هذه الظاهرة من العوامل الهامة في العديد من تطبيقات الموارد المائية.
تهدف هذه الدراسة إلى التنبؤ بقيم التبخر نتح المرجعي الشهري, باستخدام الشبكات العصبية الاصطناعية و نظام الاستدلال الضبابي.
Evapotranspiration is an important component of the
hydrologic cycle, and the accurate prediction of this parameter is
very important for many water resources applications. Thus, the
aim of this study is prediction of monthly reference
evapotranspiration using Artificial Neural Networks (ANNs) and
fuzzy inference system (FIS).
References used
AL-ABBODI, A. H. 2014. Evaporation Estimation Using Adaptive Neuro-Fuzzy Inference System and Linear Regression. Eng. &Tech. Journal, Vol.32, Part(A), No.10, 2465-2474
JADEJA, V, 2011. Artificial neural network estimation of Reference Evapotranspiration from pan evaporation in a semiarid environment. National Conference on Recent Trends in Engineering & Technology
KARIYAMA, I. D, 2014. Temperature-Based Feed-Forward Backpropagation Artificial Neurl Network For Estimation Reference Crop Evapotranspiration In The Upper West Region. International Journal of Scientific & Technology Research, Volume 3, Issue 8, 357-364
Accurate estimating and predicting of hydrological phenomena plays an influential role in the development and management of water resources, preparing of future plans according to different scenarios of climate changes. Evapotranspiration is one of t
Evaporation is a major meteorological component of the hydrologic cycle, and it
plays an influential role in the development and management of water resources. The aim
of this study is to predict of the monthly pan evaporation in Homs meteostation
Evapotranspiration forms one of the hydrology cycle elements that it's hard to
measure its actual amounts in the field conditions, so it’s estimated by calculations of
experimental relations that depend on climatic elements data. These estimations
This research aims to produce a diagnosis system for breast cancer by using Neural
Network depending on Back Propagation algorithm(BPNN) and Adaptive Neuro Fuzzy
Inference System ‘ANFIS’, the both of studies was done using structural features of
b
Suspension system is considered one of the most important components of modern
automobiles as it is the responsible for the vehicle’s stability, balance and safety. The
presence of robust controller is very necessary in order to ensure full interac