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 an embodiment, a teacher machine learning-based slope analysis method includes: acquiring data related to learning of a slope in advance; A learning step of performing machine learning with the acquired data and snow quality (class) information corresponding to the data, predicting a characteristic value of a road surface and modeling it in the form of a machine learning parameter; Measuring inertial signal data of the current slope; And predicting slope information of the current slope using the measured inertial signal data and the learning information.
机译:根据一个实施例,一种基于教师机器学习的斜率分析方法包括:预先获取与斜率的学习有关的数据;以及一种学习步骤,其利用获取的数据和与该数据相对应的雪质(等级)信息进行机器学习,预测路面的特征值并以机器学习参数的形式对其进行建模。测量电流斜率的惯性信号数据;并且使用所测量的惯性信号数据和学习信息来预测当前斜率的斜率信息。

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