Micro cell culture analog apparatus (µCCA) output prediction using Artificial Neural Network

This paper presents a system for prediction of naphthalene concentration in the liver and lung compartments of a micro cell culture analog apparatus (μCCA) based on the Artificial Neural Network (ANN). The implemented ANN can be used to simulate organ and circulatory system reactions in terms of residual naphthalene concentrations. For neural network training, 100 samples were used and additional 100 samples were used for subsequent validation. For the lung compartment, the accuracy of prediction of naphthalene concentration is 97% and the accuracy of concentration prediction in liver compartment is 95%. Implemented neural network for prediction of residual concentration of naphthalene in lung and liver compartments of a μCCA uses the fraction of exiting stream that re-enters the microcircuit as input value. This system can be used for simulating the organ and circulatory system reactions before conducting experiments on micro cell culture analog apparatus.