Enhancement of CHEMFET sensor selectivity based on backpropagation algorithm

In this study, a method to improve selectivity of chemically field-effect transistor (CHEMFET) sensor towards the main ion concentration in mixed solution is discussed. The approach is based on artificial neural network (ANN) as a post processing stage that performs the estimation of ion concentration in the mixed solution. Here, the algorithm developed will be able to estimate the main ion in mixed solution by learning the pattern of the input and output based on sensor reading extracted. Firstly, backpropagation algorithm is used to train proposed network by optimizing the parameters of the network. Initial findings showed that the performance of MLP architectures with backpropagation algorithm is able to provide excellence estimation of main ion concentration in mixed solution.