نتایج جستجو برای: multiple linear regressions mlr
تعداد نتایج: 1203338 فیلتر نتایج به سال:
The 17β-HSD3 enzyme plays a key role in treatment of prostate cancer and small inhibitorscan be used to efficiently target it. In the present study, the multiple linear regression (MLR),and support vector machine (SVM) methods were used to interpret the chemical structuralfunctionality against the inhibition activity of some 17β-HSD3inhibitors. Chemical structuralinformation were described thro...
Sea level prediction is essential for the design of coastal structures and harbor operations. This study presents a methodology to predict sea changes using height meteorological factor observations at tide gauge in Antalya Harbor, Turkey. To this end, two different scenarios were established explore most feasible input combinations prediction. These use lagged (SC1), both (SC2) as predictive m...
Arterial Blood pressure (BP) is influenced by numerous factors. Guidelines on measurement of BP contain recommendations on the position of the back by advising that the subject should sit with back supported. The objectives of this work are: i) to determine whether unsupported back during BP measurement in sitting position has significant effect on BP, ii) to determine the relationship between ...
INTRODUCTION Tacrolimus is an important immunosuppressive drug for organ transplantation patients. It has a narrow therapeutic range, toxic side effects, and a blood concentration with wide intra- and interindividual variability. Hence, it is of the utmost importance to monitor tacrolimus blood concentration, thereby ensuring clinical effect and avoiding toxic side effects. Prediction models fo...
Structure-toxicity relationships were studied for a set of 67 insecticides by means of multiple linear regression (MLR). The values of log LD50 (lethal dose 50, oral, rat) of the studied compounds were well correlated with the descriptors encoding the chemical structures. Considering the pertinent descriptors, a correlation coefficient of 0.87 (s = 0.42, n = 67) was obtained for the MLR model. ...
A combined wavelet transform (WT) and multiple linear regression (MLR) based technique to forecast price profile in a single settlement real time electricity market has been presented. The historical price and load data has been decomposed into better-behaved wavelet domain constitutive subseries using WT and then combined with other time domain variables to form the set of input variables for ...
Weather forecasting is the application of science and technology to predict the state of the atmosphere for a future time at a given location. It is carried out by collecting quantitative data about the current state of the atmosphere and past and/or present experiences. In this study Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multiple linear regression model were used to analyze metrolo...
An adaptive neuro-fuzzy inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet works. The ANFIS model was employed to calculate vent air discharge in different gate openings for an embankment dam. A hybrid learning algorithm obtained from combining back-propagation and least square estimate was adopted to identify linear and...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید