[PDF] Top 20 A technique of fuzzy c mean in multiple linear regression model toward paddy yield
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A technique of fuzzy c mean in multiple linear regression model toward paddy yield
... century. Regression analysis has become one of the standard tools in data ...fields. Multiple regression is a flexible method of data analysis that may be appropriate whenever a quantitative variable ... See full document
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Comparison between multiple linear regression and fuzzy C regression models towards scale of health in ICU
... This model is effective especially for a given nonlinear system from its input-output ...MLR model. The comparison between FCRM models and MLR model indicates that the FCRM models appeared to be a ... See full document
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A Prediction Algorithm for Paddy Leaf Chlorophyll Using Colour Model Incorporate Multiple Linear Regression
... Abstract. This paper proposes the chlorophyll prediction in Pathumthani1 rice based on the image processing technique. The algorithm is developed to analyse the colour in the image by separating the components ... See full document
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A new hybrid of fuzzy c means method and fuzzy linear regression model in predicting manufacturing income
... Thus, fuzzy structure system is ...using fuzzy c-means (FCM) method, to apply existing methods such as multiple linear regression (MLR) and fuzzy linear ... See full document
6
Multiple Fuzzy Regression Model on Two Wheelers’ Mileage with Several independent Factors
... Fuzzy linear regression analysis has been used for many years in developing mathematical models for application in marketing, management, and sales forecasting in uncertain ...forecasting ... See full document
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On the use of fuzzy C-regression truncated models for health indicator in intensive care unit
... MLR model can be adapted in FCRM models such as least median squares (LMS), least trimmed squares (LTS), deepest regression and least quartile difference (LQD) ...better model in modelling health ... See full document
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Prediction of Heart Disease using Multiple Linear Regression Model
... ensemble model is developed by combining three independent neural networks ...ensemble model was also increased but no performance improvement was ...Prediction model has developed using data mining ... See full document
7
The long-term costs for treating Multiple Sclerosis in a 16-year retrospective cohort study in Brazil
... linear regression model was performed to evaluate the associations between the mean annual cost per patient and the clinical and demographic ...the mean annual expenditure and employed ... See full document
14
Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia’s hospital
... new fuzzy approach for the automatic segmentation of normal and pathological brain magnetic resonance imaging ...The model is fuzzy c-means (FCM) ...well-known fuzzy and ... See full document
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On the use of fuzzy c regression truncated models for health indicator in intensive care unit
... The models/technique discussed are multiple linear regression MLR model, analytical hierarchy process AHP technique, fuzzy c-means FCM model, fuzzy c-regression models FCRM, fuzzy linear[r] ... See full document
37
Developing a univariate approach to phase-I monitoring of fuzzy quality profiles Pages 829-842 Download PDF
... profiles, fuzzy set approaches can put up with imprecision and uncertainty without loss of performance and ...of fuzzy profiles can be applied for a wide variety of ...of fuzzy profiles in both ... See full document
14
Relative metabolic utilization of in situ rabbit soleus muscle: thermistor based measurements and model
... Instrumentation and experimental test apparatus Thermistors (Thermometrics, Edison NJ, USA; GC11) were fast-responding (time constant approximately 20 ms) and relatively small (30 mm diameter). Resistance and sensitivity ... See full document
8
Plotting partial correlation and regression in ecological studies
... simple linear regression, outliers are data points that are far away from the cluster of points that originate the ...the linear trend, whereas X-axis outliers are outliers that may fit well on the ... See full document
12
Pile design using Multiple Linear Regression model
... the Multiple Linear Regression (MLR) ...of model is highly significant, thus we can assume that there is a linear relationship between the variables in our model, ...the ... See full document
8
Wear Optimization of Al/Sic/Gr Hybrid MMC Using Taguchi and ANOVA
... From the above eq’s (1- 3) it indicates that load, speed and track dia, increases or decreases the wear rate and coefficient of friction at any parametric value. the positive sign indicates that increase in load ... See full document
6
syllabusw12.pdf
... Topics include: Simple linear regression, introduction to time series, multiple regression, prediction in the multiple regression model, residual diagnostics, detection of outli[r] ... See full document
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Influence Of Organizational Culture And Leadership Toward Commitment Of Organizational Commitee At Al Jauhar Islamic Boarding School Sumbersari Jember.
... Nur Jannah (2008) conducted a research entitled " The influence of leadership and organizational culture on organizational commitment in improving employee performance (study on bureau of agriculture department) . ... See full document
7
Attitudes toward concordance and self-efficacy in decision making: a cross-sectional study on pharmacist–patient consultations
... In this study, patients who felt that they were fully involved in decision making about their medications had significantly more favorable attitudes toward concordance than did those who felt only partially ... See full document
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Application of Multiple Linear Regression Technique to Predict Noise Pollution Levels and Their Spatial Patterns in the Tarkwa Mining Community of Ghana
... MLR model showed a RMSE of ...a model assessor is in line with the study of [6] and [5] who also used the same approach for the model ...MLR model is in consonance with the standard noise ... See full document
9
Analysis of Variable Insensitive Friction Stir Welding Parameters
... The first process in examining the welds will be to look at the physical aspects of the welds themselves post welding, post tensile breaking and macrographs. Figure 4.1 shows the tensile specimens of Weld 1 after they ... See full document
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