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Small- and medium-sized reservoir dam safety evaluating method based on GRA-BP (grey relational analysis and back propagation) neural network

A BP neural network, GRA-BP technology, applied in the direction of biological neural network models, neural learning methods, neural architecture, etc., can solve the problems of immature monitoring models and evaluation methods, lack of evaluation models and methods, etc., to ensure pertinence And scientific, to ensure the effect of training accuracy

Inactive Publication Date: 2017-01-25
CHINA THREE GORGES UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

Although some achievements have been made in the safety evaluation of dams, the following problems still exist: (1) the monitoring model and evaluation method for dam safety analysis and evaluation are not mature enough; (2) the current evaluation of concrete gravity dams, There are many studies on the safety evaluation of arch dams, but for small and medium-sized dams such as earth-rock dams, there is a lack of targeted evaluation models and methods due to the characteristics of the project itself, the specific complexity of dam construction materials, and the different operating conditions.

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  • Small- and medium-sized reservoir dam safety evaluating method based on GRA-BP (grey relational analysis and back propagation) neural network
  • Small- and medium-sized reservoir dam safety evaluating method based on GRA-BP (grey relational analysis and back propagation) neural network
  • Small- and medium-sized reservoir dam safety evaluating method based on GRA-BP (grey relational analysis and back propagation) neural network

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Embodiment Construction

[0023] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0024] In order to solve the problems existing in the prior art, the applicant has conducted in-depth and creative research on the prior art. The present invention proposes a new method for evaluating the safety of small and medium-sized reservoir dams based on the GRA-BP neural network, by: 1) establishing a safety evaluation index system for small and medium-sized dams; 2) analyzing and processing safety monitoring data; 3 ) Using neural network technology to build a dam safety evaluation model can effectively solve the above problems and realize an intelligent and integrated dam safety evaluation method.

[0025] A method for evaluating the safety of small and medium-sized reservoir dams based on the GRA-BP neural network, comprising the following steps:

[0026] Step 1: Build a safety evaluation index system for small and medium-sized reservoir dams...

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Abstract

The invention provides a small- and medium-sized reservoir dam safety evaluating method based on GRA-BP (grey relational analysis and back propagation) neural network in order to overcome the defects of existing small- and medium-sized reservoir dam safety evaluating technology and method. The method comprises the steps of screening main factors influencing small- and medium-sized reservoir dam safety based on grey relational analysis method, and constructing a small- and medium-sized reservoir dam safety evaluation index system; generating a network training inspection sample; determining topological structure of the BP neural network; setting main training parameters of the BP neural network, initializing network connection weights and thresholds, and setting network training end conditions, error precision and training frequency; correcting the network by using L-M algorithm accumulative network global errors; entering the training and inspection samples to train and inspect the safety evaluating BP neural network, and finally constructing an intelligent dam safety evaluating model based on BP neural network. The method provides the functions such as comprehensive safety evaluation and hidden peril analysis, and is highly scientific, effective and practical.

Description

technical field [0001] The invention relates to the technical field of reservoir dam safety research, in particular to a safety evaluation method for small and medium-sized reservoir dams based on a GRA-BP neural network, which is widely applicable to the safety analysis and evaluation of various small and medium-sized reservoir dams. Background technique [0002] There are more than 98,000 reservoirs in my country, which is the country with the largest number of reservoirs and dams in the world. 96% of the dams that have been built are small and medium dams, which have played an important role in flood control, irrigation and power generation in and around cities in our country. Most of these small and medium reservoir dams are earth-rock dams, which have been in operation for more than 30 to 40 years. With the passage of time, the age of the dams increases, and various conditions of dam operation (such as structure, foundation, environment, etc.) gradually change. Coupled...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/26G06N3/04G06N3/08
CPCG06N3/084G06Q50/26G06N3/045
Inventor 李浩平李峰卞雪唐傲翔李悦佳欧阳俊
Owner CHINA THREE GORGES UNIV
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