基于脑电图技术探讨X3D+TIN与GRU融合的女性偏好预测模型
Exploring the Female Preference Prediction Model of X3D+TIN with GRU Fusion Based on EEG Technology
徐静1
作者信息
- 1. 浙江商业职业技术学院,浙江杭州 310053
- 折叠
摘要
通过解读神经营销背后的机制,基于脑电图采集女性消费者脑电波,探索脑电图的多维特征提取,结合人工智能前沿的视频分类融合算法,提出一种偏好预测的深度融合模型新框架.
Abstract
By deciphering the mechanism behind neuromarketing,acquisition of female consumers'brain waves based on EEG technology,exploring multidimensional feature extraction,combined with video classification fusion algorithms at the forefront of artificial intelligence,to propose a new framework for deep fusion modeling for preference prediction.
关键词
神经营销学/脑电信号/女性消费者/偏好预测模型Key words
neuromarketing/EEG signals/female consumers/preference prediction modeling引用本文复制引用
出版年
2024
NETL
NSTL
万方数据