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Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation

By Shenhao Wang and others
While deep neural networks (DNNs) have been increasingly applied to choice analysis showing high predictive power, it is unclear to what extent researchers can interpret economic information from DNNs. This paper demonstrates that DNNs can provide economic information as complete as classical discrete choice models (DCMs). The economic information includes... Show more
September 16, 2019
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Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation
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