A Regression Equation Model for Height and Weight Prediction
نویسندگان
چکیده
منابع مشابه
Hierarchical Alpha-cut Fuzzy C-means, Fuzzy ARTMAP and Cox Regression Model for Customer Churn Prediction
As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In the previous studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by combining two or more techniques have been proved to provide better performances than many single techniques over a nu...
متن کاملPrediction of lean body mass from height and weight.
Lean body mass, calculated from the measurement of total body water using antipyrine space, was estimated in 29 males and 27 females. It was found that the lean body mass could be predicted from the height and weight, and formulae for both males and females have been produced with multiple correlation coefficients (r) of 0.96 and 0.83 respectively.
متن کاملComparison of Artificial Neural Network and Multiple Regression Analysis for Prediction of Fat Tail Weight of Sheep
A comparative study of artificial neural network (ANN) and multiple regression is made to predict the fat tail weight of Balouchi sheep from birth, weaning and finishing weights. A multilayer feed forward network with back propagation of error learning mechanism was used to predict the sheep body weight. The data (69 records) were randomly divided into two subsets. The first subset is the train...
متن کاملWeight and Height in Tehran Nurseries
Summary In order to examine the Summary .growth status or children in Tehran nurseries in comparison to the international standards, height and Weight in 526 boys and 557 girls 3 to 7 year old in 7 nurseries located in the wellto-do areas of the capital were surveyed and compared to the National Center for Health Statistics figures. 54.5% or the children were between -1 SD to + 1 SD weight fo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2018
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1087/2/022018