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Method for calculating shielding material accumulation factor based on BP neural network

A BP neural network and shielding material technology, which is applied in the field of calculating the accumulation factor of shielding materials based on BP neural network, can solve the problems of accumulation factor calculation errors and complex expressions, and achieve the effect of improving accuracy

Pending Publication Date: 2021-04-30
HARBIN ENG UNIV
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Problems solved by technology

For the fitting formula, the expression is complex and the calculation parameters need to be looked up in the table for linear interpolation calculation in practical applications, which brings certain errors to the calculation of the accumulation factor

Method used

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  • Method for calculating shielding material accumulation factor based on BP neural network
  • Method for calculating shielding material accumulation factor based on BP neural network
  • Method for calculating shielding material accumulation factor based on BP neural network

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specific Embodiment 1

[0031] according to Figure 1 to Figure 4 Shown, the present invention provides a kind of method based on BP neural network calculation shielding material accumulation factor, comprises the following steps:

[0032] This method proposes to use the neural network algorithm to realize the fast and accurate calculation of the accumulation factor of the material, and uses the ANSI6.4.3 standard database as the basic training data to train the neural network model, and the input parameters are x 1 (γ-ray energy E), x 2 (mean free path mfp), the calculable penetration depth is up to 40mfp. The calculation process consists of two parts, namely the forward propagation calculation and the backward propagation calculation.

[0033] In the forward propagation process, the input signal is transmitted from the input layer to the output layer through the hidden layer neurons, and the output signal is generated at the output terminal. If the output signal meets the given output requirement...

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Abstract

The invention relates to a method for calculating a shielding material accumulation factor based on a BP neural network. The invention relates to the technical field of deterministic radiation shielding calculation. Forward propagation is carried out, in the forward propagation process, an input signal is transmitted to an output layer from an input layer through neurons of a hidden layer, an output signal is generated at an output end, and when the output signal meets a given output requirement, calculation is finished; when the output signal does not meet the given output requirement, switching to signal back propagation. According to the method, data is divided into a training set and a test set according to a reasonable proportion, and the data is normalized. The network is trained by using the training set, and verification is performed by using the test set. The optimal hidden layer and the number of neurons in each layer can be determined through repeated tests.

Description

technical field [0001] The invention relates to the technical field of calculation for deterministic radiation shielding, and relates to a method for calculating accumulation factors of shielding materials based on BP neural network. Background technique [0002] The point kernel integration method is a method to simplify the calculation of the radiation dose field distribution in three-dimensional space. The point kernel integral simplifies the calculation of the radiation dose field distribution in complex three-dimensional space into two parts, the first part is the calculation of the penetrating item that does not interact with the shielding material, and the second part is the calculation of the accumulation factor of the particle interacting with the material calculate. For the calculation of the accumulation factor, the fitted Taylor formula and G-P formula are mainly used in the traditional calculation methods. For the fitting formula, the expression is complex and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G16C60/00G06N3/08
CPCG06N3/08G06N3/084G16C60/00G06F30/27
Inventor 陈润开王翔
Owner HARBIN ENG UNIV
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