Parameters for comparison of methods
A comparison of regionalisation methods for catchment model parameters
... A comparison of regionalisation methods for catchment model parameters significant debate over the ...model parameters is usually transposed from one or more donor catchments to the catchment ...
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An Analysis of Wind Speed Distribution and comparison of five numerical methods for Estimating Weibull Parameters at Ormara, Pakistan
... distribution parameters are estimated by five numerical methods, namely Method of moments (MoM), Empirical Method (EMP), Energy Pattern Factor Method (EPM), Maximum Likelihood Method (MLM) and Modified ...
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A comparison of regionalisation methods for catchment model parameters
... This study was carried out in Austria using data from the period 1976–1997. Austria is flat or undulating in the east and north, and alpine in the west and south. Elevations range from 115 m a.s.l. to 3797 m a.s.l.. Mean ...
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A comparison of approximation methods for the estimation of probability distributions on parameters
... 3.2 Sensitivity of DEL(M) and SPL(M,N) Estimated Probability Distributions In the previous subsection, we discussed the results from two examples using simulated data in the estimation of probability distributions P on ...
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Comparison of DFT methods used in calculation of eledtrochemical parameters of ferrocene derivatives
... Eksperimentalne (apscisa) i teorijske (ordinata) (M06-2X teorijska razina) vrijednosti na odabranom skupu ferocenskih derivata.. Na M06-2X teorijskoj razini, koja ima najvi[r] ...
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Comparison of Different Methods in Estimating Weibull Distribution Parameters for Wind Power Application
... V. CONCLUSIONS For the wind tribunes to be installed in the province of Hatay, the compatibility of the wind speed with Weibull distribution function has been studied by using the measured wind speed rates that had been ...
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Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
... these methods as powerful tools in drug-discovery and toxicol- ogy ...popular methods widely employed in the field of cheminformatics namely Naïve Bayes, k-nearest neighbor, random forest and support vector ...
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Comparison of the Methods
... Comment: This example considers exactly the same parameters as M. Fu, D.B. Madan and T. Wang (1997) “Pricing Asian Options: a Comparison of Analytical Results and Monte Carlo Methods”, Working paper, ...
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Comparison of ultrasound parameters for diagnosis of IUGR
... ABSTRACT Background: An active approach to the diagnosis of IUGR should be undertaken so that the foetus can be closely monitored and when indicated, be promptly delivered. Methods: Study was conducted at ...
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Comparison of selected parameters of biomass and coal
... The methods applied in energy industry for purifying solid-derived exhausts in electrostatic precipitators or wet desulphurisation lead to formation of by-products, which are used in other sectors, ie construction ...
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A Comparison of Methods for Cascade Prediction
... based methods, SEISMIC outperforms RPP especially when the two class are imbal- ...the parameters learned through the MLE approach can vary as a result from random ...
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MRI Segmentation : Methods and Comparison
... parameters when there is a many-to-one mapping to the distribution governing the observation. The EM algorithm is used widely in the image segmentation field and it produces very good results especially with a ...
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A comparison of in-sample forecasting methods
... every individual separately. Modeling every individual separately, possibly with additional covariates, results in the estimation of a large number of parameters. An increase of dimension means that data is more ...
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Efficient learning methods to tune algorithm parameters
... In comparison, KW-RaceRR distributes the budget more evenly between the best systems, and allocates more samples to the inferior ...distributions’ parameters, and eventually leads to better results at the ...
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Recommended Methods for Evaluating Cloud and Related Parameters
... Jakob (2003) noted the relevance of both systematic verification (time series) and case studies, but that there are no specific guidelines on the methodologies to use for such evaluations. This is true for forecasters ...
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Novel Methods for Weak Physiological Parameters Monitoring.
... 58 Figure 5.11 Relative error comparison Time domain displacement plots of 1.0mm and 0.3mm estimation are selected as examples, and plotted in Figure 5.12 . Linear stage output is simulated in Matlab and plotted ...
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A comparison of forecast models to predict weather parameters
... possible methods, bring them from fifteen to ...starting parameters and then it may estimate iteratively all the parameters to forecast future values of time ...
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The Comparison of Methods for IndividualTreatment Effect Detection
... and methods that we plan to use in our study, it is necessary to introduce several basic terms related to the topic of ITE ...of parameters or characteristics X that affect the target ...
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Comparison of PID Controller Tuning Methods
... 2) Limits on the variation of the manipulated variable. These graphs are for both set point changes and load disturbances and for PI or PID controllers are available [11]. The method can provide controller ...
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METHODS TO QUANTIFY THE PARAMETERS APPLIED IN THE RMi
... The uniaxial compressive test is time-consuming and is also restricted to those relatively hard, unbroken rocks that can be machined into regular specimens. Although the strength classification is based on laboratory ...
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