نتایج جستجو برای: root mean square error rmse

تعداد نتایج: 996558  

2016
Rasheed Atif Fawad Inam

The topographical features of fractured tensile, flexural, K1C, and impact specimens of monolithic epoxy have been studied and correlated with mechanical properties and surface features of samples before fracture. The topographical features studied include waviness (Wa), roughness average (Ra), root mean square value (Rq), and maximum roughness height (Rmax or Rz). As surface notches generate t...

2009
Shi-Qin Jiang Lu Bing Jia-Ming Dong Ming Chi Wei-Yuan Wang Lei Zhang

In recent year, a multipole graphical model, which is constructed by using individual MCG measurements based on the equivalent current dipole (ECD) or equivalent magnetic dipole (EMD) source model, has been developed with the aim of instead of the volume conductor model in the inverse solution of cardiac source estimation. In this paper, two graphical models known as the double magnetic dipole ...

2014
Gurmanik Kaur Ajat Shatru Arora Vijender Kumar Jain

High blood pressure (BP) is associated with an increased risk of cardiovascular diseases. Therefore, optimal precision in measurement of BP is appropriate in clinical and research studies. In this work, anthropometric characteristics including age, height, weight, body mass index (BMI), and arm circumference (AC) were used as independent predictor variables for the prediction of BP reactivity t...

2012
Amandeep Kaur Vinay Chopra

Image Restoration is a field of Image Processing which deals with recovering an original and sharp image from a degraded image using a mathematical degradation and restoration model. This study focuses on restoration of degraded images which have been blurred by known or unknown degradation function. On the basis of knowledge of degradation function image restoration techniques can be divided i...

2015
Su Sin Chong Abdul Aziz Sulaiman W. Harun Hamzah Arof Shahaboddin Shamshirband

The measurement and prediction of dye concentration is important in the design, planning and management of wastewater treatment. Soft computing techniques can be used as a support tool for analyzing data and making prediction. In this study, Central Composite Design (CCD) and adaptive neuro-fuzzy inference system (ANFIS) are employed to identify and predict the output intensity ratio of light t...

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...

2016
K. Divya

The efficiency of a fingerprint authentication system depends on the quality of the fingerprint image. Enhancement of the fingerprint image is indispensable to get a good quality image. In this paper, a novel method is proposed to enhance the fingerprint image using Adaptive Gamma Parameter with Discrete Wavelet Transform (DWT). An automatic transformation technique that improves the brightness...

Journal: :تولید گیاهان زراعی 0

crop simulation models are increasingly used in agriculture. these models help in saving time and expenses. the objective of this study was to evaluate cropsyst model in predicting development, growth and yield of wheat cultivars from golestan province. to do this, experimental data from different experiments were gathered for kohdasht, shiroodi, tajan and zagros. model performance in simulatin...

2012
Eva OSTERTAGOVÁ Oskar OSTERTAG

In the paper a relatively simple yet powerful and versatile technique for forecasting time series data – simple exponential smoothing is described. The simple exponential smoothing (SES) is a short-range forecasting method that assumes a reasonably stable mean in the data with no trend (consistent growth or decline). It is one of the most popular forecasting methods that uses weighted moving av...

2006
Marc A. Schaub Stephen F. Schaffner Catherine Foo Stacey Gabriel David Reich Mark J. Daly

Population genetics models are useful for obtaining background expectations about genetic variation. In this work, the authors calibrate such a model using empirical data sets, specifically Single Nucleotide Polymorphism (SNP) data from three populations (West Africa, East Asia and Europe). The authors use a total of 15 measures to compare the simulated data to the empirical observations. For e...

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