نتایج جستجو برای: mean bias error mbe and root mean square error rmse
تعداد نتایج: 16912123 فیلتر نتایج به سال:
Reference Evapotranspiration (ET0) is a basic parameter for determination of irrigation program. It is one of the most important factors in water resources management and considers as a requirement for every irrigation and drainage plans. Because of the spatial variations of ET0, it is necessary to use from intrapolation methods in order to estimation of this parameter in regional studie. Using...
With the increase in population and progress of industrialization, rational use energy heating systems has become a research topic for many scholars. The accurate prediction heat load provides us with scientific solution. Due to complexity difficulty forecasting systems, this paper proposes short-term method based on Bayesian algorithm-optimized long- memory network (BO-LSTM). moving average da...
Crop yield prediction is one of the most challenging tasks in agriculture. It considered to play an important role and be essential step decision-making processes. The goal crop establish food availability for coming years, using different input variables associated with domain. This paper aims predict five Gulf countries’ crops: wheat, dates, watermelon, potatoes, maize (corn). Five independen...
Climate changes caused by global warming has presented challenges to human society. Studying the Changes of climate variables in the future decades by using output data’s of Atmosphere-Ocean Global Circulation Models (AOGCM) is a way of perusing climate fluctuation in a region. In this study, the focus is on the AOGCM proceeds in simulating of variable temperature in Ahwaz and Abadan stations. ...
Abstract In this study, wavelet support vector machine (WSWM) model is proposed for daily suspended sediment (SS) prediction. The WSVM model is achieved by combination of two methods; discrete wavelet analysis and support vector machine (SVM). The developed model was compared with single SVM. Daily discharge (Q) and SS data from Yadkin River at Yadkin College, NC station in the USA were used. I...
In this study, the performance of three different self organization feature map (SOFM) network models denoted as SOFM1, SOFM2, and SOFM3 having neighborhood shapes, namely, SquareKohonenful, LineKohonenful, and DiamondKohenenful, respectively, to predict the critical factor of safety (Fs) of a widely-used artificial slope subjected to earthquake forces was investigated and compared. For this pu...
OBJECTIVE To evaluate the accuracy of body mass index (BMI) as a predictor of body fat in elderly women. RESEARCH METHODS AND PROCEDURES A total of 1423 women aged 67 +/- 5 (mean +/- SD, range: 60 to 88) years were consecutively enrolled into the study. Fat mass (FM) was measured using DXA. RESULTS BMI explained 72.9% of FM variance (p < 0.0001), with a root mean square error of estimate (R...
[1] Inverse weighted distance and regression nonexact techniques were evaluated for interpolating methods snow water equivalent (SWE) across the entire Colorado River Basin of the western United States. A 1-km spacing was used for the gridding of snow telemetry (SNOTEL) measurements for the years 1993, 1998, and 1999, which on average, represented higher than average, average, and lower than av...
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