Switch to: References

Add citations

You must login to add citations.
  1. Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study.Kunqiang Qing, Ruisen Huang & Keum-Shik Hong - 2021 - Frontiers in Human Neuroscience 14.
    This study decodes consumers' preference levels using a convolutional neural network in neuromarketing. The classification accuracy in neuromarketing is a critical factor in evaluating the intentions of the consumers. Functional near-infrared spectroscopy is utilized as a neuroimaging modality to measure the cerebral hemodynamic responses. In this study, a specific decoding structure, called CNN-based fNIRS-data analysis, was designed to achieve a high classification accuracy. Compared to other methods, the automated characteristics, constant training of the dataset, and learning efficiency of the proposed (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations