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 E-Mail IMAGE: A comparison summary of deep neural networks (DNNs) and discrete choice models (DCMs) characteristics view more  Credit: Singapore-MIT Alliance for Research and Technology (SMART) Singapore, 19 April, 2021 - Researchers at the Future Urban Mobility (FM) Interdisciplinary Research Group (IRG) at Singapore-MIT Alliance for Research and Technology (SMART), MIT s research enterprise in Singapore, have created a synthetic framework known as theory-based residual neural network (TB-ResNet), which combines discrete choice models (DCMs) and deep neural networks (DNNs), also known as deep learning, to improve individual decision-making analysis used in travel behaviour research. In this research paper, Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks, recently published in established transportation science journal

Jinhua zhaoShenhao wangNational research foundation singaporeDepartment of urbanMobility labEnergy electronic systemsTechnology centreCampus for research excellence and technological enterpriseCampus for research excellenceNational research foundationInnovation centreAlliance for researchInterdisciplinary research groups irgsMobility fm interdisciplinary research groupMassachusetts institute of technologyResearch enterprise