3、一种基于bi-lstm-ae注意力机制的农机作业数据清洗方法,包括以下步骤: 4、s1、获取农机作业的时间序列数据,划分原始数据为训练数据集和测试数据集; 5、s2、进行数据预处理,利用孤立森林算法对训练集进行数据清洗; 6、s3、采用双向lstm网络与自编码器ae相结合,并引入自注意力机制模块,构建bi-lstm-ae异常检测模型...
This model generates low-dimensional representations and reconstruction errors for each input data point using a deep autoencoder, which are then fed into a Gaussian Mixture Model (GMM) to evaluate the likelihood of each data point. The higher the likelihood, the greater the probability of an ...
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Then, the Gaussian mixture model (GMM) is used to analyze wind turbine power's short-term prediction error distribution characteristics. It can be seen from the above analysis that the LSTM model has a comprehensive and mature application in short-term wind power prediction. 2.3. Proposed Method...
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