نتایج جستجو برای: rmse regression model

تعداد نتایج: 2331037  

2017
M. Rakhshkhorshid

In this research, a radial basis function artificial neural network (RBF-ANN) model was developed to predict the hot deformation flow curves of API X65 pipeline steel. The results of the developed model were compared with the results of a new phenomenological model that has recently been developed based on a power function of Zener-Hollomon parameter and a third order polynomial function of str...

Journal: :Remote Sensing 2018
Yueyuan Zhang Yungang Li Xuan Ji Xian Luo Xue Li

Accurate precipitation data at a high spatial resolution are essential for hydrological, meteorological, and ecological research at regional scales. This study presented a geostatistical downscaling-calibration procedure to derive the high spatial resolution maps of precipitation over a mountainous watershed affected by a monsoon climate. Based on the relationships between precipitation and oth...

Journal: :Remote Sensing 2013
Jason Defibaugh y Chávez Jason A. Tullis

Coverage and frequency of remotely sensed forest structural information would benefit from single orbital platforms designed to collect sufficient data. We evaluated forest structural information content using single-date Hyperion hyperspectral imagery collected over full-canopy oak-hickory forests in the Ozark National Forest, Arkansas, USA. Hyperion spectral derivatives were used to develop m...

2012
P. Santra R. K. Tomar R. N. Garg R. N. Sahoo

Saturated hydraulic conductivity of Soil is an important property in processes involving water and solute flow in soils. Saturated hydraulic conductivity of soil is difficult to measure and can be highly variable, requiring a large number of replicate samples. In this study, 60 sets of soil samples were collected at Saqhez region of Kurdistan province-IRAN. The statistics such as Correlation Co...

Journal: :Remote Sensing 2014
Songqiu Deng Masato Katoh Qingwei Guan Na Yin Mingyang Li

Enhanced methods are required for mapping the forest aboveground biomass (AGB) over a large area in Chinese forests. This study attempted to develop an improved approach to retrieving biomass by combining PALSAR (Phased Array type L-band Synthetic Aperture Radar) and WorldView-2 data. A total of 33 variables with potential correlations with forest biomass were extracted from the above data. How...

2017
H. Jin S. Wu I. Vidyanti P. Di Capua B. Wu

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Big Data and Analytics in Healthcare”. Background: Depression is a common and often undiagnosed condition for patients with diabetes. It is also a condition that significantly impacts healthcare outcomes, use, and cost as well as elevating suicide risk. Therefore, a model to predict depression among ...

2015
Yang Wang Minghao Yang Zhengqi Wen Jianhua Tao

Hidden Markov Model (HMM) based speech synthesis using Decision Tree (DT) for duration prediction is known to produce over-averaged rhythm. To alleviate this problem, this paper proposes a two level duration prediction method together with outlier removal. This method takes advantages of accurate regression capability by Extreme Learning Machine (ELM) for phone level duration prediction, and th...

2011
C. T. Mulangu

This paper develops a new PLC model and investigates the impact of the load, line length, and diameter of the transmission line on the channel transfer function over the frequency range of 120 MHz. The results show that with 42 degrees of freedom, the proposed model leads to an average RMSE value of approximately 5.2 dB. With the same conditions, the Phillips model leads to an average RMSE valu...

Journal: :Remote Sensing 2014
Said Nawar Henning Buddenbaum Joachim Hill Jacek Kozak

The monitoring of soil salinity levels is necessary for the prevention and mitigation of land degradation in arid environments. To assess the potential of remote sensing in estimating and mapping soil salinity in the El-Tina Plain, Sinai, Egypt, two predictive models were constructed based on the measured soil electrical conductivity (ECe) and laboratory soil reflectance spectra resampled to La...

ذونعمت کرمانی, محمد, رمضانی چرمهینه, عبداله ,

Accurate and reliable simulation and prediction of the groundwater level variation is significant and essential in water resources management of a basin. Models such as ANNs and Support Vector Regression (SVR) have proved to be effective in modeling nonlinear function with a greater degree of accuracy. In this respect, an attempt is made to predict monthly groundwater level fluctuations using M...

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