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The objective of the present study was to develop a model to predict lichen species richness for six test sites in the Swiss Pre-Alps following a gradient of land use intensity combining airborne re...
Catastrophes of all kinds can be roughly defined as short duration-large amplitude events following and followed by long periods of "ripening". Major earthquakes surely belong to the class of 'catastr...
Abstract: This paper presents the application of a particle filter for data assimilation in the context of puff-based dispersion models. Particle filters provide estimates of the higher moments, and a...
A well known problem with Earth Orientation Parameters (EOP) prediction is that a prediction strategy proved to be the best for some testing time span and prediction length may not remain the same for...
I compare the first viscous hydrodynamic prediction for integrated elliptic flow in Pb-Pb collisions at the LHC with the first data released by the ALICE collaboration. These new data are found to be ...
Assuming that the behaviour of a nonlinear stochastic system can be described by a Markovian diffusion approximation and that the evolution equations can be reduced to a system of ordinary differentia...
The paper presents measurements performed on the granular flow that develops in a drum partially filled with sand grains and rotating at various speeds. The aims of the paper are: to provide experimen...
The thermalized positron charge distribution is calculated as a function of pressure variation in GaAs. Calculations have been carried out via the independent particle method (IPM) coupled with the em...
2001Vol.35No.6pp.759-762DOI: Nonlinear Time Series Prediction Using Chaotic Neural Networks LI Ke-Ping and CHEN Tian-Lun Department of Physics, Nankai University, Tianji...
2007Vol.48No.1pp.117-124DOI: Discussion of Some Problems About Nonlinear Time Series Prediction Using ν-Support Vector Machine GAO Cheng-Feng, CHEN Tian-Lun, and NAN Tian-Shi ...
2002Vol.38No.3pp.313-316DOI: Phase Space Prediction Model Using Neural Networks LI Ke-Ping1,2 and CHEN Tian-Lun2 1 Institute of System Science, Northern Jiaotong Univer...
2006Vol.46No.3pp.501-506DOI: Theoretical Prediction of Differential Cross Sections for Reaction pp→pK+Λ in a Resonance Model LIU Bo-Chao1,4 and ZOU Bing-Song1,2,3 1 Inst...
2006Vol.45No.4pp.641-646DOI: Nonlinear Time Series Prediction Using LS-SVM with Chaotic Mutation Evolutionary Programming for Parameter Optimization XU Rui-Rui, CHEN Tian-Lun, an...
2005Vol.43No.6pp.1056-1060DOI: Discussion About Nonlinear Time Series Prediction Using Least Squares Support Vector Machine XU Rui-Rui, BIAN Guo-Xing, GAO Chen-Feng, and CHEN Tian...
2005Vol.43No.1pp.102-106DOI: Phase Space Prediction of Chaotic Time Series with Nu-Support Vector Machine Regression YE Mei-Ying1 and WANG Xiao-Dong2 1 College of Mathem...

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