公开(公告)号：US20190244104A1

公开(公告)日：2019-08-08

申请号：US15886860

申请日：2018-02-02

Applicant: Macau University of Science and Technology

Inventor： Zhanchuan Cai ,  Aiju Li

IPC: G06N3/08 ,  G06F17/16

CPC classification number: G06N3/084 ,  G06F17/156 ,  G06F17/16

Abstract: One embodiment is a method that improves computations of correlation values between a surface roughness and terrain parameters of a terrain surface. The method includes applying the terrain parameters as an input of a Back Propagation Neural Network (BPNN) and the surface roughness as an output of the BPNN; implementing a nonlinear mapping from the input to the output of the BPNN; generating a weight matrix (ω1) and a weight matrix (ω2); and improving computations of the correlation values by calculating a correlation matrix by ω2×ω1, calculating a unit weight which is a sum of absolute values in the correlation matrix, and dividing each value in the correlation matrix by the unit weight.