A New Method of Firing Table Correction based on DBSCAN

Abstract

Former methods of amending firing table are not efficient for designing a firing table because it wastes time and needs shooting tests and calculation efforts. In order to reduce the unnecessary consumption it costs before and optimise it at a higher level, this paper introduces the concept of error analysis in firing table system and introduces a new optimized algorithm model of firing table. Using the new method model, it gives out the simulated comparison of the results between original firing table data, method of average error and the new method. Within the same meteorological weather, it compares the results with different parameters of the new algorithm model and gives out the performances in different algorithmic situations. Finally, from the simulated results and practical tests between different methods, the authors find that the new model not only can reduce the consumption of resource, but also can be 10% more efficient than the former ones.