نتایج جستجو برای: plsr method has high performance rmse0142
تعداد نتایج: 5673764 فیلتر نتایج به سال:
Leaf area index (LAI) is a key parameter used to describe vegetation structures and is widely used in ecosystem biophysical process and vegetation productivity models. Many algorithms have been developed for the estimation of LAI based on remote sensing images. Our goal was to produce accurate and timely predictions of grassland LAI for the meadow steppes of northern China. Here, we compare the...
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
Partial Least Squares Regression (PLSR) is a method for constructing predictive models when the variables are many and highly collinear. Its goal is to predict a set of response variables from a set of predictor variables. This prediction is achieved by extracting a set of orthogonal factors called latent variables from the predictor variables. This study investigated the performances of model ...
The ratio between nitrogen and phosphorus (N/P) in plant leaves has been widely used to assess the availability of nutrients. However, it is challenging rapidly accurately estimate leaf N/P ratio, especially for mixed forest. In this study, we collected 301 samples from nine typical karst areas Guangxi Province during growing season 2018 2020. We then utilized five models (partial least squares...
Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets. However, most of algorithm implementations of PLSR may only achieve a suboptimal solution through an optimization on the Euclidean space. In this paper, we propose several novel PLSR models on Riemannian manifolds and develop optimization algorithms based on Riemannian g...
the aim of this study is investigating the effect of teaching “metacognitive strategies” on the way which scientific information retrieval workes by the using of google scholar searching machine on the students of ms in the psycology & education faculty of allameh tabatabayi university in 2007-2008 academic year. the statistical community was the students of ms in psychology & education facult...
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
asymmetric polyethersulfone (pes) microfiltration flat sheet membranes were composed by the phase inversion method (pim) and were used as supports. composite membranes were fabricated by coating silicone rubber as selective layer. effect of different concentrations of pes and pdms and different solvent such as nmp, dmf and dms effects as pes solvents and support thickness and different coagulat...
therefore, the objective of this study is to test the feasibility of uv-ir transmission spectroscopy for the non-destructive assessment of the freshness of an individual egg as an alternative for traditional inspection methods. to obtain a considerable variation in freshness, groups consisting of 10 eggs were stored (30 7 oc and 25% 4 rh) for 30 days. data obtained from non-destructive spectral...
The calibration of Partial Least Square regression (PLSR) models can be disturbed by outlying samples in the data. In these cases unstable and their predictive potential depreciated. To address this problem, some robust versions PLSR Algorithm were proposed. These algorithms rely on downweighting outliers during calibration. end, it is necessary to estimate an inconsistency measurement between ...
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