Desert sand concrete strength prediction model training method, device, equipment and medium

A concrete strength and prediction model technology, applied in the field of model training, can solve problems such as insufficient model accuracy, and achieve the effect of improving accuracy and ensuring accuracy

Pending Publication Date: 2022-03-25
CHINA RAILWAY 20 BUREAU GRP
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Problems solved by technology

[0003] The embodiment of the present invention solves the problem of insufficient precision of the model obtained in the prior art by providing a desert sand concrete strength prediction model training method, device, equipment and medium

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  • Desert sand concrete strength prediction model training method, device, equipment and medium
  • Desert sand concrete strength prediction model training method, device, equipment and medium
  • Desert sand concrete strength prediction model training method, device, equipment and medium

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Embodiment Construction

[0048] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049]The main solution of the embodiment of the present invention is: obtain at least one set of training data; determine a set of target training data from the at least one set of training data; use the target training data to train the strength prediction model to obtain the training error ; If the training error is greater than the preset error threshold, then use the PSO algorithm to adjust the model parameters of the strength prediction model; update the strength prediction model and the target training data, and return to perform strength prediction using the target training data The step of training the model to obtain a training error until the training error is less than the preset error threshold to obtain a desert sand concrete strength prediction model.

[0050] The traditional strength prediction model t...

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Abstract

The invention discloses a desert sand concrete strength prediction model training method, device and equipment and a medium, and belongs to the technical field of model training. The method comprises the following steps: acquiring at least one group of training data; determining a group of target training data from the at least one group of training data; training an intensity prediction model by using the target training data to obtain a training error; if the training error is greater than a preset error threshold value, adjusting model parameters of the strength prediction model by using a PSO algorithm; and updating the strength prediction model and the target training data, and returning to the step of training the strength prediction model by using the target training data to obtain the training error until the training error is smaller than the preset error threshold, thereby obtaining the desert sand concrete strength prediction model. The strength prediction model is trained in combination with the PSO algorithm, the model training precision is improved, and then the strength prediction accuracy is guaranteed.

Description

technical field [0001] The invention relates to the technical field of model training, in particular to a desert sand concrete strength prediction model training method, device, equipment and medium. Background technique [0002] In related technologies, the traditional strength prediction model training method generally directly trains and optimizes the model through training data, but due to the possible abnormalities in the training data itself, the accuracy of the obtained model is not enough, and the prediction accuracy needs to be improved, and the relevant strength prediction model Concentrate on predicting the strength values ​​of ordinary concrete. Contents of the invention [0003] The embodiment of the present invention solves the problem of insufficient model accuracy in the prior art by providing a desert sand concrete strength prediction model training method, device, equipment and medium. [0004] According to a first aspect of the present invention, a dese...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16C20/70G16C60/00G06N3/00G01N33/38
CPCG16C20/70G16C60/00G06N3/006G01N33/383
Inventor 廖太昌常小娟杨阳姚鑫袁杰谢江胜蔡小平杨星智杨文萃帖锋斌
Owner CHINA RAILWAY 20 BUREAU GRP
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