Open AccessDesign of Mining Rules and Prediction System for the First Hit Ratio of Artillery
Author(s) -
Na Zhou,
Yonghao Li,
Qianya Guo,
Liu Xin-an
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/4/042073
Subject(s) - artillery , data mining , computer science , test (biology) , test data , reliability engineering , simulation , engineering , artificial intelligence , software engineering , paleontology , biology
In order to realize the data-driven cost-effective prediction of the first hit rate of artillery, this paper applies data mining, minHash and other core algorithms and ideas to design a set of artillery first hit ratio correlation with data analysis, storage, analysis, mining and other functions. Rule mining and forecasting system. In this paper, the system architecture, core algorithm and system software of this system are designed. The actual case test of the first hit rate prediction is carried out based on the test data of a certain type of artillery. The analysis of the test results shows that the function of the system is normal and the operation is stable. The average deviation of the predicted test results is 3.08%, which meets the index requirement of the predicted deviation of the first hit ratio of the artillery <5%.