Finite selection decision method for writing digital aircraft source codes by artificial intelligence programmer

Abstract

The invention discloses a finite selection decision method for writing digital aircraft source codes by an artificial intelligence programmer. The method comprises the steps of obtaining executive objects and a decision tree according to decision targets; according to input objects and the decision tree, screening the executive objects to obtain a feasible executive object set; according to the decision targets, finding feature parameters for describing the executive objects under the targets and corresponding calculation methods, and for the feasible executive object set in the second step, calculating the feature parameters of the executive objects; performing scoring on the feature parameters under the decision targets; calculating a comprehensive score; and according to the selected optimal executive object, writing the source codes. The deficiencies in the prior art are overcome; the artificial intelligence programmer is used for replacing personnel to perform digital aircraft source code writing; and independent decision-making is performed in a solution of finite selection, so that the writing efficiency is improved and the aircraft simulation cost is reduced.

Description

technical field [0001] The invention relates to the technical field of source code intelligent writing, and more specifically relates to a limited selection decision-making method for artificial intelligence programmers to write digital aircraft source codes. Background technique [0002] At present, the proportion of simulation verification using the digital world in the process of engineering design, research and development, and testing has been greatly increased. The cost of physical aircraft testing is high, and the role of digital aircraft is more obvious. The effectiveness of digital simulation depends on the accuracy of digital aircraft and environmental models. In order to achieve simulation results consistent with reality, the design accuracy of digital aircraft needs to reach the component level. The environment includes the coupling of electromechanical, thermal, optical, and magnetic factors, which causes The development workload of the digital aircraft is heavy...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides a limited selection decision-making method for artificial intelligence programmers to write digital aircraft source code. The selection of the number of projects, the number of files, variable types, etc. encountered in the process, the selection of modules in the aircraft model, etc., can delineate the selection range, and make independent decisions among the limited selection of execution objects, which improves the writing efficiency and reduces the cost of the aircraft. simulation cost

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