[PDF] Top 20 Parameter estimation using the genetic algorithm and its impact on quantitative precipitation forecast

... optimal parameter estimations are performed for both physical and computational parameters in a mesoscale meteorological model, and their impacts on the quantitative precipitation forecasting (QPF) ... See full document

... optimal parameter estimations are performed for both physical and computational parameters in a mesoscale meteorological model, and their impacts on the quantitative precipitation forecasting (QPF) ... See full document

... of genetic algorithm (GA) in nonlinear kinetic parameter estimation of tapioca starch hydrolysis was studied and compared with the Gauss-Newton ...the impact of user defined parameters ... See full document

... of genetic algorithms for parameter estimation of non-linear eco- nomic ...of genetic algorithms to estimate of parameters of demand function for durable goods and simultaneously search for ... See full document

... The results show that there is a high variability in the yearly NSE values, with some being close to 1, while others were below 0.5. This can be partially explained by the differences in the hydrographs between years. ... See full document

... Square Estimation, (LSE) and Maximum Likelihood Estimation ...namely Genetic Algorithm in estimating the parameters of Box-Jenkins ...model.So, Genetic Algorithm will be used in ... See full document

... ACKNOWLEDGEMENTS The device of using desert island papers has allowed me to acknowledge the influence of mentors and colleagues on my career. Others, who I would class as facilitators, do not natu- rally fit into ... See full document

... Simple Genetic Algorithm The GA approach is a very well-known, evolutionary computation global optimisation method, based on the biological principle of natural selection, where the fittest individuals will ... See full document

... actual precipitation; that is, radar receivers use antennas to perceive information associated to hydrometeors-echo ...transformed using the radar equation (for radar reflectivity) and then, a whole data ... See full document

... Genetic Algorithm has been successfully applied for solving systems of Linear Equations; however the effects of varying the various Genetic Algorithms parameters on the GA systems of Linear Equations ... See full document

... where y is the experimental data and f(x, θ) is the surviving fraction from the mathematical model that contain parameters. In order to minimize the SSE, two types of optimization methods which are in the category of ... See full document

... optimize parameter a by minimizing the root mean square error (RMSE) between the observed rain rate and the modeled rain rate using reflectivity ...from its Marshall–Palmer pen- dant and only reduced ... See full document

... and its value can be either numerical, binary, symbols or characters depending on the problem want to be ...by Genetic Algorithm with ...which its genes composition are the combination of ... See full document

... by using intelligent systems, which are capable of capturing the complexity in the financial ...VaR estimation, which are namely parametric methods, non-parametric methods and semi-parametric ...and ... See full document

... Some of the parameters are known or easily measurable. For example, geometrical properties, such as tread width and wheelbase, are known. However, there are some parameters that are unknown and directly immeasurable, ... See full document

... mm/day precipitation at east of Zhejiang province where the daily precipitation is about 200 mm on 15 June 2016 after the Meranti ...daily precipitation at this area and the EFIEQ is around 200 mm, ... See full document

... Thus, this paper presents a model of the motor to estimate the motor parameters using the proposed GA method. The model is arranged from the flux linkage models and torque model of a squirrel-cage induction motor. ... See full document

... In order to take these aspects into account, new types of QPF verification methods focused on the spatial structure of the precipitation have been developed over the last decade ( Ahijevych et al., 2009; Gilleland ... See full document

... The discrimination thresholds were determined with two di ff erent tone durations 0.6 second and 2.0 seconds. In our study, the judgement of similarity between two tones is done by comparing the entire signals and, ... See full document

... optimization algorithm is urgently needed. In this paper, we analyze the genetic algorithm (GA) technique for the development of a software assessment model for the NASA software project ...performed ... See full document