Airport Noise Prediction Method Based on Cube Singular Value Decomposition
XU Tao
LU Bing
LV Zonglei
YANG Guoqing
Abstract：Airport noise issue has become an important issue affecting the development of airports ,and airport noise re-al-time prediction for airport noise monitoring and airport noise studies are of great significance .As airport noise prediction problem is essentially a real matrix filling problem ,matrix factorization models are used to predictive real-time airport noise . Meanwhile according to the characteristics of factors affecting airport noise ,a new cube decomposition model is proposed . Through real airport noise monitoring ,data show that compare with the basic matrix factorization model ,the new cube sin-gular value decomposition model prediction accuracy has been greatly improved .
Keywords：airport noise predictionmatrix factorizationhigh-order SVDcube singular value decomposition
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1819-1822,1911 )