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METHOD FOR PREDICTING HUMAN PERSONALITY BASED ON HUMAN POSITION DATA

机译:基于人类位置数据的人格预测方法

摘要

The invention discloses a kind of people's individual character appraisal procedures, it include: the back propagation network (BPN) of the learning procedure of study because using the related information of learning data, there are multiple positions in probability including input layer, and expression first mankind personality value's layer information is exported, wherein the input layer information is entered the input layer of BPN; It is drilled bad to obtain the BPN that the first personality value learns about unique individual from output layer in the lock core that a possibility that BPN learnt, location information is present in particular person with the input of step. ;The 2016 of copyright KIPO submissions
机译:本发明公开了一种人的个性评价方法,它包括:学习学习过程的反向传播网络(BPN),因为利用学习数据的相关信息,包括输入层,表达先后的概率处于多个位置。导出人类人格价值的层信息,输入的层信息输入到BPN的输入层;从锁芯的输出层获得第一个个性值学习的唯一个人的BPN不好钻BPN学习的可能性,位置信息会随着步骤的输入而出现在特定的人中。 ; 2016年版权KIPO提交文件

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