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Method for converting model deduction into intelligent deduction

A model and intelligent technology, applied in inference methods, neural learning methods, biological neural network models, etc., can solve problems such as the use of deep reinforcement learning without a detailed introduction

Active Publication Date: 2021-08-20
NAT UNIV OF DEFENSE TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Patent No.: 201811313124.X proposes an unsupervised intelligent confrontation deduction system based on deep reinforcement learning. This method does not introduce in detail how deep reinforcement learning is used in the confrontation deduction system

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  • Method for converting model deduction into intelligent deduction
  • Method for converting model deduction into intelligent deduction
  • Method for converting model deduction into intelligent deduction

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings, but the present invention is not limited in any way. Any transformation or replacement based on the teaching of the present invention belongs to the protection scope of the present invention.

[0031] The purpose of the present invention is to transform the input modeling of equipment unit model data and unit behavior model data of both parties into an image model that can be used for deep reinforcement learning, and convert the output of unit behavior decision-making into an output that can be used for deep reinforcement learning. Deduction performs image model conversion to meet the needs of deep reinforcement learning and provides a basis for intelligent countermeasure unit deduction. The countermeasure unit among the present invention comprises ground countermeasure unit, air countermeasure unit and water surface countermeasure unit.

[0032] like figure 1 As shown ...

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Abstract

The invention discloses a method for converting model deduction into intelligent deduction. Model digital input of a confrontation unit, digital input of a regular behavior and digital output of a behavior decision of the confrontation unit in the model deduction are converted into input and output of an image model in the intelligent deduction; discretized sampling is carried out on the moving process of the confrontation unit and the marshalling unit process in the virtual environment deduction in the intelligent deduction, and the discretized sampling is converted into sequence images of a graph model; converting the damage evaluation deduced by the virtual environment into the damage evaluation of each unit and the overall damage evaluation of the image model in intelligent deduction; the input of an image model in intelligent deduction is used as the input of a training test model of deep reinforcement learning, and the training test model of deep reinforcement learning outputs motion and strategy value vectors. According to the method, unit behavior decision output is converted into output capable of being used for deep reinforcement learning, so that the requirement of deep reinforcement learning is met, and a basis is provided for intelligent deduction.

Description

technical field [0001] The invention belongs to the technical field of confrontation deduction, and in particular relates to a conversion method for model deduction to intelligent deduction. Background technique [0002] Intelligent confrontation refers to the use of intelligent weapons and means on the basis of information confrontation to achieve high-tech confrontation forms with the main purpose of efficient command, strike precision, operation automation, and behavioral intelligence. In essence, intelligent confrontation is the radiation and extension of human intelligence to information confrontation sites and countermeasure equipment. From the perspective of confrontation procedures and means, intelligent confrontation includes intelligent command and control and offensive and defensive confrontation with intelligent equipment. The main sign of intelligent confrontation is the emergence of intelligent countermeasure equipment groups and intelligent countermeasures. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06N5/04G06N3/08G06N3/04
CPCG06F30/20G06N5/04G06N3/08G06N3/045
Inventor 曾向荣钟志伟刘衍张政
Owner NAT UNIV OF DEFENSE TECH
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