Comprehensive advanced geological forecast method based on BP neural network for water-rich rock mass of tunnel
A BP neural network and advanced geological forecasting technology, applied in neural learning methods, biological neural network models, predictions, etc., can solve the problems of lack of objectivity and strong subjectivity, improve objectivity and accuracy, and ensure construction safety Effect
Pending Publication Date: 2018-08-17
SHANDONG UNIV
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The accuracy of the prediction results depends entirely on the experts' own experience. If the expert's level is good, the judgment is accurate. If the expert's level is average, the judgment has a high error. Artificial subjectivity is strong, lack of objectivity in comprehensive evaluation
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[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0034] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
[0035] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...
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The invention discloses a comprehensive advanced geological forecast method based on a BP neural network for a water-rich rock mass of a tunnel. The method comprises the steps of determining the majorinfluence factors of the water-rich rock mass; determining the risk levels of the rich rock mass by combining geophysical exploration and geological survey data, and setting the parameter ranges corresponding to all levels; constructing a water-rich rock mass prediction model based on the BP neural network, and quantifying the water-rich rock mass influence factors and the water-rich level; constructing a neural network learning sample, learning, obtaining a prediction model of the neural network, and carrying out comprehensive advanced geological forecast for the water-rich rock mass of thetunnel by using the prediction model. According to the method, on-site construction of the underground engineering can be effectively guided, and the construction safety of the engineering line is guaranteed.
Description
technical field [0001] The invention relates to a method for comprehensive advanced geological prediction of tunnel water-rich rock mass based on BP neural network. Background technique [0002] With the continuous development of my country's economic construction, a large number of underground projects need to be built, and in the process of underground project construction, water-rich rock mass is the most common type of unfavorable geology in the tunnel construction process, which will cause a series of underground engineering construction. harm. Therefore, in order to ensure the safety of tunnel engineering construction and improve the efficiency of engineering construction, it is necessary to carry out effective forecasting of water-rich rock mass. [0003] At present, many methods have been proposed for the prediction of water-rich rock mass, mainly including geological analysis method and geophysical method. In order to improve the prediction accuracy of water-rich r...
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IPC IPC(8): G06Q10/04G06N3/08G01V9/02
CPCG01V9/02G06N3/084G06Q10/04
Inventor 邱道宏王琳周炳桦崔久华薛翊国苏茂鑫李志强张开
Owner SHANDONG UNIV