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A Novel Recurrent Neural Network to Classify EEG Signals for Customers' Decision-Making Behavior Prediction in Brand Extension Scenario
It was meaningful to predict the customers' decision-making behavior in the field of market. However, due to individual differences and complex, non-linear natures of the electroencephalogram (EEG) signals, it was hard to classify the EEG signals and to predict customers' decisions by usin...
Autores principales: | Ma, Qingguo, Wang, Manlin, Hu, Linfeng, Zhang, Linanzi, Hua, Zhongling |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982520/ https://www.ncbi.nlm.nih.gov/pubmed/33762912 http://dx.doi.org/10.3389/fnhum.2021.610890 |
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