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Water meter calibration device table position difference calculation method

A technology of verification devices and calculation methods, applied in the direction of biological neural network models, etc., can solve problems such as complex relationships and difficult establishment of mathematical models, and achieve the effect of simplifying the calculation process

Active Publication Date: 2018-11-30
FUJIAN METROLOGY INST
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AI Technical Summary

Problems solved by technology

There are many reasons for the stage difference and the relationship is complicated, which makes it difficult to establish a specific mathematical model and optimize it

Method used

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  • Water meter calibration device table position difference calculation method
  • Water meter calibration device table position difference calculation method
  • Water meter calibration device table position difference calculation method

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Embodiment Construction

[0026] Please refer to figure 2 As shown, a preferred embodiment of the method for calculating the level difference of a water meter verification device of the present invention includes the following steps:

[0027] Step S1, establishing a wavelet neural network model of the level difference of the water meter verification device;

[0028] Step S2, establishing a wavelet neural network function model of the level difference of the water meter verification device;

[0029] Step S3, establishing a hybrid genetic-quantum particle swarm optimization algorithm to optimize parameters of the wavelet neural network function model.

[0030] Described step S1 specifically is: establish the wavelet neural network model of the stage difference of water meter verification device, wavelet neural network has powerful nonlinear approximation ability; Described wavelet neural network model comprises an input layer, a hidden layer and an output layer ;

[0031] The input layer contains m i...

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Abstract

The invention provides a water meter calibration device table position difference calculation method. The method comprises the following steps of: S1, establishing a wavelet neural network model for water meter calibration device table position differences; S2, establishing a wavelet neural network function model for water meter calibration device table position differences; and S3, establishing ablending inheritance-quantum particle swarm algorithm to optimize parameters of the wavelet neural network function model. The method has the advantages of overcoming the problem that mathematic modeling of table position differences is difficult through the wavelet neural network, converting model calculation problems of the table position differences into weight value optimization problems of the wavelet neural network through the blending inheritance-quantum particle swarm algorithm, simplifying the calculation process, and enabling the table position differences to be close to 0 when samples are big enough.

Description

technical field [0001] The invention relates to the field of water meter verification, in particular to a method for calculating a stage difference of a water meter verification device. Background technique [0002] The stage difference is defined as the difference between the verification errors of two different water meter verification devices. refer to figure 1 Existing water meter verification device verification schematic diagram, including a working volume 1, a rotameter 2, a valve 3, a workbench 4, a stabilized water source 5 and a tested water meter 6, the indication value of the water meter to be verified and There will be a difference between the indications of the working volume, which is the error of the verification of the water meter verification device. The same water meter will have different errors when it is verified on different water meter verification devices. The verification error of two different water meter verification devices The difference is th...

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Application Information

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IPC IPC(8): G06N3/02
CPCG06N3/02
Inventor 雷阳刘鸿滨陈祥金晶苏黎丽
Owner FUJIAN METROLOGY INST
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