Results 31 to 40 of about 114,441 (314)

Mathematical model of dynamics of moving objects based on quaternions

Технічна інженерія, 2019
One of the main tasks of managing groups of dynamic moving objects is to ensure their consistent movement in space. It is advisable to optimize the movements (motion) in space using mathematical models i.e. systems of equations of motion.
I.V. Puleko
doaj   +1 more source

An orthogonal terrain-following coordinate and its preliminary tests using 2-D idealized advection experiments [PDF]

Geoscientific Model Development, 2014
We have designed an orthogonal curvilinear terrain-following coordinate (the orthogonal σ coordinate, or the OS coordinate) to reduce the advection errors in the classic σ coordinate.
Y. Li, B. Wang, D. Wang, J. Li, L. Dong
doaj   +1 more source

SPICE-Based SAR Tomography over Forest Areas Using a Small Number of P-Band Airborne F-SAR Images Characterized by Non-Uniformly Distributed Baselines

Remote Sensing, 2019
Synthetic aperture radar tomography (TomoSAR) has been proven to be a useful way to reconstruct vertical structure over forest areas with P-band images, on account of its three-dimensional imaging ability.
Xing Peng, Xinwu Li, Changcheng Wang, Jianjun Zhu, Lei Liang, Haiqiang Fu, Yanan Du, Zefa Yang, Qinghua Xie   +8 more
doaj   +1 more source

Orthogonal least squares regression with tunable kernels [PDF]

, 2005
A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of individual regressor by incrementally ...
Wang, X. X., Wang, X.X., Brown, D. J., Chen, S., Brown, D.J.   +4 more
core   +1 more source

ON THE KERNEL METHOD COMPARED TO THE MATRIX INVERSION METHOD FOR PASSING FROM A DUAL BASIS TO THE BASIS OF A VECTOR SPACE

Al-Ulum
In this work, we study and compare two methods for passing from a dual basis to the basis of a finite-dimensional vector space by recalling the passage from a basis to its dual.
Michael Kilela Makiese, Pongo Ngentshi Benoit, Milolo Kanimuambidi Lea-Irene, Bompoma Elese Ruphin, Mubikayi Kabumvu Serge   +4 more
doaj   +1 more source

Orthogonal basis spreading sequence for optimal CDMA

JSIAM Letters, 2016
4 pages, 2 figure, Accepted for JSIAM ...
Tsuda, Hirofumi, Umeno, Ken
openaire   +3 more sources

Particle swarm optimization aided orthogonal forward regression for unified data modeling [PDF]

, 2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density function estimation.
Xia Hong, Hong, Xia, Sheng Chen, Chris J. Harris, Chen, Sheng, Harris, Chris J.   +5 more
core   +1 more source

Orthogonal Basis Extreme Learning Algorithm and Function Approximation [PDF]

, 2015
A new algorithm for single hidden layer feedforward neural networks (SLFN), Orthogonal Basis Extreme Learning (OBEL) algorithm, is proposed and the algorithm derivation is given in the paper.
Ying Li, Li, Ying, Xiangkui Wan, Li, Yan, Wan, Xiangkui, Yan Li   +5 more
core   +1 more source

Orthogonal-least-squares regression: A unified approach for data modelling [PDF]

, 2008
A unified approach is proposed for data modelling that includes supervised regression and classification applications as well as unsupervised probability density function estimation. The orthogonal-least-squares regression based on the leave-one-out test
Harris, C. J., X. Hong, B.L. Luk, Chen, Sheng, C.J. Harris, Chen, S., Luk, Bing L., Hong, Xia, B. L. Luk, S. Chen, Luk, B. L., Hong, X., C. J. Harris, Harris, Chris   +13 more
core   +1 more source

Construction of radial basis function networks with diversified topologies [PDF]

, 2011
In this review we bring together some of our recent work from the angle of the diversified RBF topologies, including three different topologies; (i) the RBF network with tunable nodes; (ii) the Box-Cox output transformation based RBF network (Box-Cox RBF)
Hong, Xia, Harris, C. J., X. Hong, S. Chen, Chen, Sheng, C. J. Harris, Harris, Chris J., Chen, S.   +7 more
core   +1 more source