中文摘要：

针对传统情绪模型存在缺乏性格因素的问题,在E-Learning学业情绪模型中引入性格因素,根据性格、心情和情绪的映射关系,将其融入到基于专注度、趋避度、愉悦度的三维学业情绪空间中,建立融合性格因素的基于遗传算法优化径向基函数神经网络（RBF）的E-Learning学业情绪模型,为E-Learning情境中结合人的性格和心情研究情绪认知评价问题提供一种可能。实验结果表明,该模型具有较高的识别率和较好的实时性。

英文摘要：

Traditional emotional models lack personality factors,to overcome this limitation,personality was considered in E-Learning academic emotion model,the mapping among personality,mood and emotion was established,and the corresponding parameters were quantified for academic emotion model based on the degree of approach-avoidance,degree of attention and degree of pleasure.Genetic algorithms improved radial basis function neural network was used to establish E-Learning academic emotion model with personality integrated.It provided a possible combination of personality and mood to resolve emotional cognitive evaluation in E-Learning.Experimental results show that this model has high recognition rate and timeliness characteristic.