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人工智能/神经网络 The software implements particle filtering and Rao Blackwellised particle filtering for conditionall
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generi ...
文章/文档 Electromagnetic scattering from the trees above a tilted rough ground plane generated by the stochas
Electromagnetic scattering from the trees above a tilted rough ground plane generated by the stochastic Lidenmayer system is studied by Monte Carlo simulations in this paper.The scattering coefficients are calculated in three methods:coherent addition approximation,tree-independent scattering,and in ...
matlab例程 Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
其他 Swarm intelligence algorithms are based on natural behaviors. Particle swarm optimization (PSO) is
Swarm intelligence algorithms are based on natural
behaviors. Particle swarm optimization (PSO) is a
stochastic search and optimization tool. Changes in the
PSO parameters, namely the inertia weight and the
cognitive and social acceleration constants, affect the
performance of the search process. Th ...
数学计算 The software implements particle filtering and Rao Blackwellised particle filtering for conditionall
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generi ...
matlab例程 多目标遗传算法程序 to run Demo files, is to run SGALAB_demo_*.m what s new: 1) Multiple-Objective GAs
多目标遗传算法程序
to run Demo files, is to run SGALAB_demo_*.m
what s new:
1) Multiple-Objective GAs
VEGA
NSGA
NPGA
MOGA
2) More TSP mutation and Crossover methods
PMX
OX
CX
EAX
Boolmatrix
3) More selection methods
Truncation
tornament
stochastic
4) mutation methods
binary single point
int/r ...
并行计算 dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
数值算法/人工智能 Measuring Frequency Content in Signals I this section we will study some non parametric methods fo
Measuring Frequency Content in
Signals
I this section we will study some non parametric methods for spectrum estimation
of a stochastic process. These methods are described in the literature.
All methods are based on the Periodogram which is defined for a sequence x[n]
with length N according to ...
书籍 OFDM+Wireless+LANS
Before delving into the details of orthogonal frequency division multiplexing (OFDM), relevant
background material must be presented first. The purpose of this chapter is to provide the necessary
building blocks for the development of OFDM principles. Included in this chapter are reviews of stochast ...
书籍 Performance+Analysis+of+Communications+Networks
Performance analysis belongs to the domain of applied mathematics. The
major domain of application in this book concerns telecommunications sys-
tems and networks. We will mainly use stochastic analysis and probability
theory to address problems in the performance evaluation of telecommuni-
cations ...