This work was supported by the National Natural Science Foundation of China(72171231).
Iterated local search(ILS)is used to construct the optimal experimental designs for multi-dimensional constrained spaces,in which the inner loop is based on the stochastic coordinate-exchange(SCE)algorithm.Every time ...
supported by the National Natural Science Foundation of China(61473227;11472222);the Aerospace Technology Support Fund of China(2014-HT-XGD);the Natural Science Foundation of Shaanxi Province(2015JM6304);the Aeronautical Science Foundation of China(20151353018)
A new Gaussian approximation nonlinear filter called generalized cubature quadrature Kalman filter (GCQKF) is introduced for nonlinear dynamic systems. Based on standard GCQKF, two extensions are developed, namely squ...
supported by the National Natural Science Foundation of China(61104184;40904018);the National Key Scientific Instrument and Equipment Development Project(2011YQ12004502);the Research Foundation of General Armament Department(201300000008);the Doctor Innovation Fund of Naval University of Engineering(HGBSCXJJ2011008);the Youth Natural Science Foundation of Naval University of Engineering(HGDQNJJ12028)
A novel neural network based on iterated unscented Kalman filter (IUKF) algorithm is established to model and com- pensate for the fiber optic gyro (FOG) bias drift caused by temperature. In the network, FOG tempe...
supported by the Specialized Research Found for the Doctoral Program of Higher Education (20070699013);the Natural Science Foundation of Shaanxi Province (2006F05);the Aeronautical Science Foundation (05I53076)
Traditional image segmentation methods based on MRF converge slowly and require pre-defined weight. These disadvantages are addressed, and a fast segmentation approach based on simple Markov random field (MRF) for S...