首页> 外国专利> RECURRENT NEURAL NETWORK FOR CLASSIFYING THE CATEGORIES OF DEPOSITED SNOW AND OPERATION METHOD THEREOF

RECURRENT NEURAL NETWORK FOR CLASSIFYING THE CATEGORIES OF DEPOSITED SNOW AND OPERATION METHOD THEREOF

机译:递归神经网络用于分类沉积雪的分类及其操作方法

摘要

According to one embodiment of the present invention, a method for analyzing a slope based on teacher machine learning may comprise the steps of: obtaining data related to learning of a slope in advance; a learning step of performing machine learning with the obtained data and quantity of snow (class) information corresponding to the obtained data to predict the characteristics of a road and model the characteristics in a machine learning parameter form; measuring inertia signal data of a current slope; and predicting slope information of the current slope using the measured inertia signal data and learning data.
机译:根据本发明的一个实施例,一种基于教师机器学习的斜率分析方法可以包括以下步骤:预先获得与斜率的学习有关的数据;以及学习步骤,使用获取的数据和与获取的数据相对应的降雪量(类别)信息进行机器学习,以预测道路的特征并以机器学习参数形式对特征进行建模;测量电流斜率的惯性信号数据;利用测得的惯性信号数据和学习数据预测当前坡度的坡度信息。

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