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Multiple regression and machine learning based methods for carcass traits and saleable meat cuts prediction using non-invasive in vivo measurements in commercial lambs
(2019-02-01)
The aim of this study is to investigate the performance of multiple linear regression and machine learning methods to predict carcass traits and commercial meat cuts in lambs using non-invasive in vivo measurements. Bayesian ...
Diesel oil quality parameter determinations using support vector regression and near infrared spectroscopy for hydrotreating feedstock monitoring
(N I R PublicationsChichesterInglaterra, 2012)
Predicting body and carcass characteristics of 2 broiler chicken strains using support vector regression and neural network models
(Poultry Science Assoc Inc, 2012-12-01)
As a new modeling method, support vector regression (SVR) has been regarded as the state-of-the-art technique for regression and approximation. In this study, the SVR models had been introduced and developed to predict ...
Predicting body and carcass characteristics of 2 broiler chicken strains using support vector regression and neural network models
(Poultry Science Assoc Inc, 2012-12-01)
As a new modeling method, support vector regression (SVR) has been regarded as the state-of-the-art technique for regression and approximation. In this study, the SVR models had been introduced and developed to predict ...
Vector dot product used for reduced three independent variables of multivariate regression to a linear regression with one independent variable. Alcohols used like a model
(SOC CHILENA QUIMICA, 2007-09)
The aim of this work is based in the reduction of independent variables in multivariate regression analysis to one by means a vector dot product (E-3). By this way, it is omit the orthogonalized procedure to obtained valid ...
Hybrid Regression Model For Near Real-time Urban Water Demand Forecasting
(Elsevier Science BVAmsterdam, 2017)
Determination of diesel quality parameters using support vector regression and near infrared spectroscopy for an in-line blending optimizer system
(Elsevier Sci LtdOxfordInglaterra, 2012)
Critical comparative analysis, validation and interpretation of SVM and PLS regression models in a QSAR study on HIV-1 protease inhibitors
(Elsevier Science BvAmsterdamHolanda, 2009)