نتایج جستجو برای: empirical modeling

تعداد نتایج: 580936  

Journal: :آب و خاک 0
حمید زارع ابیانه مریم بیات ورکشی

abstract from longley, the various equations for determining the runoff to water management are presented by the researchers that are widely used in hydrologic sciences. in this study by using observational data, was evaluated empirical, artificial neural network (ann) and ca-active neuro-fuzzy inference system (canfis) models in estimation of runoff. for this purpose, by using climatic and phy...

2011
Jeffrey C. Carver Eugene Syriani Jeffrey G. Gray

Researchers in software modeling often publish new tools or methodologies that claim to offer some advantage to the modeling community. There are different methods by which those claims can be evaluated. In this paper, we examine the degree to which such claims are supported by various types of empirical evaluation. We surveyed five editions of the MoDELS conference from 2006-2010, as well as t...

ژورنال: مهندسی دریا 2014
آزرم سا, سید علی , صادقی فر , طیب,

Many empirical methods for estimating LSTR have been introduced by scientists during the recent decades, but these methods have been calibrated and applied under limited conditions of bed profile and specific range of bed sediment size. The existing empirical relations are linear or exponential regressions based on the observation and measurements data and there’s a great potential to build mor...

Journal: :Indian Journal of Computer Science and Engineering 2020

2006
Gordana Dodig-Crnkovic

This paper investigates the relationship between reality and model, information and truth. It will argue that meaningful data need not be true in order to constitute information. Information to which truth value cannot be ascribed, partially true information or even false information can lead to an interesting outcome such as technological innovation or scientific breakthrough. In the research ...

2006
J.H.V. Lefebvre C. Mandache J. Letarte

The pulsed eddy current responses to varying material thickness and conductivity are modeled using an electrical circuit ideal transformer non-linear model. The Levenberg-Marquardt algorithm is used to curve fit the experimental signal to the model. The resulting synthetic signal is examined for its ability to preserve experimental signal features such as lift-off point of intersection (LOI), a...

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