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Deformation prediction method and apparatus based on Kalman filtering and BP neural network

A BP neural network and Kalman filter technology, applied in the field of dynamic system deformation prediction, can solve problems such as long learning time, affecting the efficiency of deformation prediction model establishment, and slow convergence speed of BP neural network algorithm.

Inactive Publication Date: 2017-04-19
PETROCHINA CO LTD
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Problems solved by technology

[0004] However, since the learning rate of the BP neural network is fixed, the convergence speed of the BP neural network algorithm is relatively slow and requires a long learning time. For some complex problems, the learning time required by the BP neural network algorithm will be very long, seriously It affects the efficiency of the establishment of the deformation prediction model in the deformation prediction process

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  • Deformation prediction method and apparatus based on Kalman filtering and BP neural network
  • Deformation prediction method and apparatus based on Kalman filtering and BP neural network
  • Deformation prediction method and apparatus based on Kalman filtering and BP neural network

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[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] figure 1 It is a flow chart of the deformation prediction method based on Kalman filter and BP neural network provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the deformation prediction method based on Kalman filter and BP neural network provided in this embodiment may include:

[0026] Step 101. Obtain ...

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Abstract

The invention provides a deformation prediction method and apparatus based on Kalman filtering and a BP neural network, wherein the deformation prediction method based on the Kalman filtering and the BP neural network comprises: obtaining the deformation monitoring data of a monitored object in a project as a training sample; establishing a BP neural network topology model according to the training sample; learning the BP neural network topology model by using a Kalman filtering algorithm according to preset training parameters to adjust the weights of the neurons in the BP neural network topology model; and performing deformation prediction according to the BP neural network topology model with adjusted weights. The deformation prediction method based on Kalman filtering and a BP neural network can shorten the learning time of the BP neural network and improve the establishment efficiency of deformation prediction model in a deformation prediction process.

Description

technical field [0001] The present invention relates to the field of deformation prediction of dynamic systems, in particular to a deformation prediction method and device based on Kalman filter and back propagation (Back Propagation, BP for short) neural network. Background technique [0002] During the construction and operation of modern engineering buildings, due to the deformation of the earth's crust and surface caused by human activities (such as pumping groundwater, oil extraction, mining, etc.), or the foundation design of engineering buildings is unreasonable, the ground treatment is unscientific, or natural Under the influence of disasters and other factors, it is easy to produce deformation. If the deformation exceeds the specified limit, it will affect the normal use of engineering buildings. Therefore, deformation monitoring and deformation prediction have a very important impact on engineering buildings. Usually, based on the deformation monitoring data, a de...

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Application Information

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IPC IPC(8): G06N3/08
CPCG06N3/084
Inventor 亢春周卫军张瑶马孝亮李月霄方艳杨春张伟王玉柱
Owner PETROCHINA CO LTD
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