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Journal of Applied Sciences
Year: 2010  |  Volume: 10  |  Issue: 21  |  Page No.: 2678 - 2682

Software Sensor Development using Radial basis Function for Estimation of Erythropoietin Concentration

R. Rashid, S.R. Radzali, B. Abdul Rahman and S.M. Mohamed Esivan    

Abstract: Measurement of biological variables in a process is a key to efficient control and supervision of the bioprocess. In a process of protein production such as erythropoietin (EPO), it is crucial but difficult to measure EPO concentration using direct or on-line measurements. EPO concentration is usually measured through laboratory analysis where expensive costs of test kit, tedious and long time analysis are the biggest obstacles. Artificial neural network software sensor was developed to estimate EPO concentration based on other measured variables such as biomass, substrate or by-product in EPO production. Radial Basis Function was utilized to map nonlinear mapping between the input and output parameters. This study deals with effect of input numbers and spread constant on radial basis performance. It is found that different number of inputs and spread constant significantly affect the performance of the predictive model. The high values of coefficient of determination, R from regression analysis also proved that this model successfully mapping the nonlinear relationship between the input and output variables.

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