A Flexible Neural Network Model for Discrete Choice Analysis with Economically-Consistent Utility Specification

The authors propose a new discrete choice model based on artificial neural networks, named "Alternative-Specific and Shared weights Neural Network (ASS-NN)", which provides a balance between flexible utility approximation from the data and consistency with random utility maximization theory and the fungibility of money assumption.