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SNOW DEPTH ESTIMATION USING TIME SERIES PASSIVE MICROWAVE IMAGERY VIA GENETICALLY SUPPORT VECTOR REGRESSION (CASE STUDY URMIA LAKE BASIN)
Urmia Basin Snow Depth Support Vector Regression Wavelet Denoising Genetic Algorithm band reduction
2016/1/15
Lake Urmia is one of the most important ecosystems of the country which is on the verge of elimination. Many factors contribute to this crisis among them is the precipitation, paly important roll. Pre...
AN EFFECTIVE HYBRID SUPPORT VECTOR REGRESSION WITH CHAOS-EMBEDDED BIOGEOGRAPHY-BASED OPTIMIZATION STRATEGY FOR PREDICTION OF EARTHQUAKE-TRIGGERED SLOPE DEFORMATIONS
Earthquake Support Vector Regression Biogeography-based Optimisation Displacement Hazard
2016/1/15
Earthquake can pose earth-shattering health hazards to the natural slops and land infrastructures. One of the chief consequences of the earthquakes can be land sliding, which is instigated by durable ...
The Asymptotic Study of Smooth Entropy Support Vector Regression
Support Vector Machine SSVR Entropy Function Asymptotic Solution Forecasting
2013/1/28
In this paper, a novel formulation, smooth entropy support vector regression (SESVR), is proposed, which is a smooth unconstrained optimization reformulation of the traditional linear programming asso...
Support Vector Regression Model of Chlorophyll-a during Spring Algal Bloom in Xiangxi Bay of Three Gorges Reservoir, China
Support Vector Regression Chlorophyll-A Algal Bloom Three Gorges Reservoir
2013/3/11
To study the relationship between chlorophyll-a and environmental variables during spring algal bloom in Xiangxi Bay of Three Gorges Reservoir, the support vector regression (SVR) model was establishe...
Seasonal prediction of winter extreme precipitation over Canada by support vector regression
winter extreme precipitation Canada support vector regression
2011/1/7
For forecasting the maximum 5-day accumulated precipitation over the winter season at lead times of 3, 6, 9 and 12 months over Canada from 1950 to 2007, two nonlinear and two linear regression models ...
NON-LINEAR HYSTERETIC STRUCTURAL IDENTIFICATION BY UTILIZING ON-LINE SUPPORT VECTOR REGRESSION
support vector regression on-line identification hysteretic structure nonlinear
2008/12/22
Structures exhibit highly nonlinear characters under severe loads such as strong seismic excitations. Therefore, it is crucial to make nonlinear structural identification in civil engineering. Howeve...
Improving Particle Filter with Support Vector Regression for Efficient Visual Tracking
Improving Particle Filter Vector Regression Efficient Visual Tracking
2010/12/15
Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density of the state evolution...