Research and analysis.Ĭurrently, there are two main modes of applying GPS to highway slope deformation detection. The text is mainly aimed at highway slope deformation. As a high-tech modern geodetic survey technology, GPS has become one of the most advanced deformation monitoring technologies and has been widely used due to its high-precision, fast, all-weather, and highly automated features. In wireless networks, GPS technology is developing fastest. Its main principle is to use algorithms that contain complex structures or are composed of multiple nonlinear transformations to multiple processing layers to abstract data at a high level. Deep learning is a branch of machine learning. If monitoring can be effectively carried out, it will be a good thing. The analysis method is simple and efficient, and can obtain good results for short-term deformation prediction.Īt present, frequent natural disasters around the world not only affect people's property safety, but also seriously affect people's lives and travel. The horizontal accuracy is controlled at 0–2 mm and the vertical accuracy is about 1 mm. The test results show that the GPS multi-antenna detection system of the wireless communication network has great advantages in response time, with high accuracy and small error.
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This article introduces the GPS multi-antenna detection system based on deep learning wireless communication, and introduces the time series analysis method and its application. Because landslides are difficult to detect in the early stage, this paper proposes a GPS-based wireless communication continuous detection system and applies it to landslide deformation monitoring to achieve early treatment and prevention. Prediction of geological disasters (such as landslides) is currently a difficult problem.
Deep learning has It is widely used in the field of wireless communication.
Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and industrial process control. Machine learning is a branch of the field of artificial intelligence.
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