Before revision:  DNN models such as the Multi-layer Perceptron (MLP)  have shown remarkable success in modelling complex data accurately, but recent studies have consistently demonstrated that their black-box properties are incompatible with discrete choice analysis for the purpose of interpreting decision making behaviour.
After revision:  DNN models such as the Multi-layer Perceptron (MLP) have shown remarkable success in modelling complex and noisy behavioural data. However, econometric studies have argued that machine learning techniques are a ` black-box properties are incompatible with discrete choice analysis for the purpose of interpreting decision making behaviour.