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Neural network test method and device

A technology of neural network and testing method, applied in the direction of neural learning method, biological neural network model, etc., which can solve the problems of increased feedback overhead and impact of feedback accuracy

Pending Publication Date: 2022-05-13
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the feedback process of CSI, feedback overhead and feedback accuracy are two opposite dimensions of performance
In order to control the lower feedback overhead, the feedback accuracy is often affected; in order to improve the feedback accuracy, the feedback overhead will increase

Method used

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  • Neural network test method and device
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  • Neural network test method and device

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Experimental program
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Embodiment Construction

[0073] The technical solution in this application will be described below with reference to the accompanying drawings.

[0074]The communication method provided by this application can be applied to various communication systems, for example: Long Term Evolution (Long TermEvolution, LTE) system, LTE frequency division duplex (frequency division duplex, FDD) system, LTE time division duplex (time division duplex, TDD) ), Universal Mobile Telecommunications System (UMTS), Worldwide Interoperability for Microwave Access (WiMAX) Communication System, Future Fifth Generation (5th Generation, 5G) Mobile Communication System or New Wireless Access Technology (new radio access technology, NR). Wherein, the 5G mobile communication system may include non-standalone networking (non-standalone, NSA) and / or standalone networking (standalone, SA).

[0075] The communication method provided in this application can also be applied to machine type communication (machine type communication, MT...

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Abstract

The embodiment of the invention provides a test method and device of a neural network. The performance of the neural network can be tested from multiple dimensions. The method comprises: based on communication connection between a first neural network and a second neural network, obtaining performance metric values of N dimensions of target information, the first neural network being obtained by training based on the communication connection with the second neural network; determining whether the performance of the first neural network reaches the standard or not based on the performance metric values of the N dimensions; wherein N is an integer greater than or equal to 2. The performance of the first neural network is tested based on the performance metric values of the multiple dimensions, the performance of the multiple dimensions is considered, and the performance of the multiple dimensions is balanced, so that the performance of the system is improved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a neural network testing method and device. Background technique [0002] In order to improve the performance of the communication system, the neural network (NN) is gradually applied to the communication equipment to obtain the joint optimization of the sending and receiving ends and improve the overall performance. Taking channel state information (channel state information, CSI) feedback and reconstruction as an example, the terminal device can quantize and compress the CSI based on a neural network to generate air interface information. The network device can decompress the air interface information based on the neural network to reconstruct the channel. [0003] However, in the feedback process of CSI, feedback overhead and feedback accuracy are two opposite dimensions of performance. In order to control the lower feedback overhead, the feedback accuracy is...

Claims

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Application Information

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IPC IPC(8): G06N3/08
CPCG06N3/08
Inventor 吴晔金黄平
Owner HUAWEI TECH CO LTD