Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process.

By A. Witek-Krowiak, K. Chojnacka, D. Podstawczyk, Anna Dawiec, Karol Pokomeda. Bioresource Technology, 2014

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Artificial neural network–genetic algorithm-based optimization of biodiesel production from Simarouba glauca (2019, neutral): “6 of a various engineering applications [23],[24],[25].”
The effects of convenience and speed in m-payment (2015, methodology): “This can be seen from the NN predictive power which is much better with very low error than the RSM approach in predicting the dependent variable (Baş and Boyacı, 2007; Betiku and Ajala, 2014; Bingöl et al., 2012; Pilkington et al., 2014; Witek-Krowiak et al., 2014).”