搜索结果: 46-60 共查到“理学 clustering”相关记录77条 . 查询时间(0.125 秒)
Comparison of the VIMOS-VLT Deep Survey with the Munich semi-analytical model - I. Magnitude counts, redshift distribution, colour bimodality, and galaxy clustering
Cosmology and Extragalactic Astrophysics (astro-ph.CO)
2010/12/23
This paper presents a detailed comparison between high-redshift observations from the VIMOS-VLT Deep Survey (VVDS) and predictions from the Munich semi-analytical model of galaxy formation.
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input for the clustering prob...
Resonance clustering in wave turbulent regimes: Integrable dynamics
Resonance clustering wave turbulent regimes Integrable dynamics
2010/4/2
Two fundamental facts of the modern wave turbulence theory are 1) existence of power energy spectra in $k$-space, and 2) existence of "gaps" in this spectra corresponding to the resonance clustering. ...
A new space-time model for volatility clustering in the financial market
space-time model volatility clustering financial market
2010/4/27
A new space-time model for interacting agents on the financial market is presented. It is a combination of the Curie-Weiss model and a space-time model introduced by J\"arpe 2005. Properties of the mo...
Asset returns and volatility clustering in financial time series
volatility clustering financial time series
2010/4/27
An analysis of the stylized facts in financial time series is carried out. We find that, instead of the heavy tails in asset return distributions, the slow decay behaviour in autocorrelation functions...
Clustering of exponentially separating trajectories
exponentially separating trajectories deterministic maps
2010/4/1
It might be expected that trajectories for a dynamical system which has no negative Lyapunov exponent (implying exponential growth of small separations will not cluster together. However, clustering c...
Time-clustering behavior in the sequence of the aftershocks of the Al-Hoceima(Morocco) 24 February 2004 earthquake
Time-clustering behavior aftershocks Al-Hoceima 24 February 2004 earthquake
2009/12/10
The time dynamics of the aftershock sequence of the Al-Hoceima (Morocco) earthquake of 24 February 2004 has been investigated. The sequence of the occurrence times of the events with threshold magnitu...
Time-clustering behavior in the sequence of the aftershocks of the Al-Hoceima (Morocco) 24 February 2004 earthquake
Time-clustering behavior the Al-Hoceima (Morocco) 24 February 2004 earthquake
2009/12/31
The time dynamics of the aftershock sequence of the Al-Hoceima (Morocco) earthquake of 24 February 2004 has been investigated. The sequence of the occurrence times of the events with threshold magnitu...
Derivation of effective and efficient data set with subtractive clustering method and genetic algorithm
Derivation effective and efficient data set subtractive clustering method genetic algorithm
2009/12/4
Success of any forecasting model depends heavily on reliable historical data, among others. Data are needed to calibrate, fine tune and verify any simulation model. However, data are very often contam...
Fuzzy C-means Clustering for 3D Seismic Parameters Processing
3D seismic parameters Structure and growth history Fuzzy C-means clustering
2009/12/3
3D seismic parameters can reflect the features of petroleum reservoir from different profiles. By analizing the3D seismic parameters, we can assess the parameters of the reservoir characterization, su...
Tangling clustering of inertial particles in stably stratified turbulence
inertial particles stably stratified turbulence
2010/4/8
We have predicted theoretically and detected in laboratory experiments a new type of particle clustering (tangling clustering of inertial particles) in a stably stratified turbulence with imposed mean...
Statistical properties of earthquakes clustering
Statistical properties earthquakes clustering
2009/10/30
Often in nature the temporal distribution of inhomogeneous stochastic point processes can be modeled as a realization of renewal Poisson processes with a variable rate. Here we investigate one of the ...
Fuzzy Clustering Neural Network as Flood Forecasting Model
Fuzzy Clustering Neural Network Flood Forecasting Model
2009/10/22
Flood forecasting is always a challenge in Taiwan, which has a subtropical climate
and high mountains. This paper develops a fuzzy clustering neural network
(FCNN), and implements this novel structu...
Clustering in the Great Attractor Region。