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A generalized regression artificial neural network (GRANN) was developed and evaluated for modeling cadmium’s nonlinear calibration curve in order to extend its upper concentration limit from 4.0 μg L−1 up to 22.0 μg L−1. This type of neural network presents important advantages over the more popular backpropagation counterpart which are worth exploiting in analytical applications, namely, (1) a smaller...
Feed-forward artificial neural networks (ANNs), trained with the generalized delta rule, were evaluated for modeling the non-linear behavior of calibration curves and increasing the working range for the determination of cadmium by graphite furnace atomic absorption spectrometry (GFAAS). Selection of this analyte was made on the basis of its short linear range (up to 4.0μgl −1 ). Two-layer...
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