18150907. Data Processing Method and Apparatus, and Related Device simplified abstract (Huawei Technologies Co., Ltd.)
Data Processing Method and Apparatus, and Related Device
Organization Name
Inventor(s)
Yongzhong Wang of Hangzhong (CN)
Data Processing Method and Apparatus, and Related Device - A simplified explanation of the abstract
This abstract first appeared for US patent application 18150907 titled 'Data Processing Method and Apparatus, and Related Device
Simplified Explanation
The abstract of this patent application describes a data processing method that involves obtaining two sets of adjacent sequence data and padding a third set of data between them. The processed data is then used for further analysis using a convolutional neural network.
- The method involves obtaining two sets of adjacent sequence data.
- A third set of data is padded between the first and second sets of data.
- The padding isolates the first set of data from the second set of data.
- The processed data is then analyzed using a convolutional neural network.
Potential Applications
- This data processing method can be applied in various fields where sequential data analysis is required, such as natural language processing, speech recognition, and time series forecasting.
Problems Solved
- The method solves the problem of processing adjacent sequence data by introducing padding to isolate the sequences.
- It addresses the challenge of effectively analyzing and processing sequential data using a convolutional neural network.
Benefits
- The method allows for efficient processing and analysis of adjacent sequence data.
- It enables the use of convolutional neural networks for analyzing sequential data, which can lead to improved accuracy and performance in various applications.
Original Abstract Submitted
A data processing method includes obtaining first data and second data, where the first data and the second data are adjacent sequence data, and a sequence of the first data is prior to a sequence of the second data; padding third data between the first data and the second data according to a preset rule to obtain fourth data, where the third data isolates the first data from the second data; and completing data processing on the fourth data using a convolutional neural network.
