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Neural network calibration efficiency evaluation method and device, medium, equipment and vehicle

An efficiency evaluation and neural network model technology, applied in the field of intelligent control, can solve the problems of low efficiency, lack of intuitive and efficient tools, difficult to grasp the position relationship of multiple regions, etc., to achieve the effect of improving calibration efficiency

Pending Publication Date: 2021-10-22
UNITED AUTOMOTIVE ELECTRONICS SYST
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The inventor found that due to the lack of intuitive and efficient tools, the calibration engineer is less efficient when checking the rationality of the calibration data, and it is difficult to grasp the positional relationship between multiple areas

Method used

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  • Neural network calibration efficiency evaluation method and device, medium, equipment and vehicle
  • Neural network calibration efficiency evaluation method and device, medium, equipment and vehicle
  • Neural network calibration efficiency evaluation method and device, medium, equipment and vehicle

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Embodiment Construction

[0036] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. Of course, the specific embodiments described below are only for explaining the technical solution of the present invention, rather than limiting the present invention. In addition, the parts described in the embodiments or the drawings are only illustrations of relevant parts of the present invention, rather than the entirety of the present invention.

[0037] Such as figure 1 As shown, it is a block diagram of the calibration performance evaluation process of Embodiment 1 of the present invention. Step 100 obtains a multi-dimensional area division vector to provide a quantitative reference for the action area of ​​the neuron model; step 200 extracts the one-dimensional calibration parameters in the area division vector; That is at least the first calibration parameter, the second calibration parameter, and the third calibration parameter; ste...

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Abstract

The invention belongs to the technical field of intelligent control, and particularly relates to a neural network calibration efficiency evaluation method and device, a medium, equipment and a vehicle. According to the method, the cube is directly drawn through the feature point coordinates of the three-dimensional space cube and the edge length features of the three sides in combination with the actual engineering requirements; the spatial distribution of each neuron can be visually presented on three core dimensions of rotating speed, load and water temperature, and the calibration efficiency of the neural network model is greatly improved. The invention has the beneficial effects that feedback is provided for division of the action areas of the neuron model, the calibration efficiency is improved, the reasonability of calibration can be checked through a visual technical means, and meanwhile, an effective solution is provided for distinguishing the position relation among the action areas.

Description

technical field [0001] The invention belongs to the technical field of intelligent control, and in particular relates to a neural network calibration performance evaluation method, device, medium, equipment and vehicle. Background technique [0002] With the application of neural network models in the field of EMS (Engine Management System, engine management system), calibration engineers need to divide the action area of ​​each neuron model according to the three dimensions of speed, load, and water temperature. [0003] The inventors found that due to the lack of intuitive and efficient tools, the efficiency of calibration engineers is low when checking the rationality of calibration data, and it is difficult to grasp the positional relationship between multiple areas. In order to solve this problem, it is necessary to design a method that can give an evaluation of the effectiveness of the relevant model based on the coordinates of the reference point and the length of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/80G06F3/01G06N3/04G06N3/08
CPCG06T7/85G06F3/011G06N3/04G06N3/08G06T2207/20081G06T2207/10012
Inventor 王志伟李鹍
Owner UNITED AUTOMOTIVE ELECTRONICS SYST