Journal of Basic and Environmental Sciences

Vol.7 No.4


A Novel Technique: Conceived Predictive Diagonal (CPD) Graphical Nonlinear Regression Modeling and Simulation
Ebrahim Abdelgawad

Abstract:

The present work predicts a novel technique for treating workable results. It aims to more professional data treating with less numbers of experiments. A Conceived Predictive Diagonal (CPD) technique is suggested for this target. For the latter a non-linear regression procedure is applied using MATLAB software. Four published examples are employed and treated. By remodeling rate of reaction -Arrhenius combination for studying a pair of factors simultaneously the simulated results are very closed to that reported. It also successfully applied for lab scale uranium removal from nitrate solution by Amberlite IR 120 at Nuclear Materials Authority, Egypt. This work demands skillful in matrices, nonlinear regression modeling, MATLAB, and kinetics- thermodynamics relation. The present work predicts a novel technique for treating workable results. It aims to more professional data treating with less numbers of experiments. A Conceived Predictive Diagonal (CPD) technique is suggested for this target. For the latter a non-linear regression procedure is applied using MATLAB software. Four published examples are employed and treated. By remodeling rate of reaction -Arrhenius combination for studying a pair of factors simultaneously the simulated results are very closed to that reported. It also successfully applied for lab scale uranium removal from nitrate solution by Amberlite IR 120 at Nuclear Materials Authority, Egypt. This work demands skillful in matrices, nonlinear regression modeling, MATLAB, and kinetics- thermodynamics relation


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