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人工智能/神经网络 A dissipative particle swarm optimization is developed according to the self-organization of dissip
A dissipative particle swarm optimization is
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the irreversible evolution process with better fitness.
The ...
人工智能/神经网络 n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional inde
n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ...
其他书籍 The IA-32 Intel Architecture Software Developer’s Manual, Volume 2: Instruction Set Reference (Orde
The IA-32 Intel Architecture Software Developer’s Manual, Volume 2: Instruction Set Reference
(Order Number 245471) is part of a three-volume set that describes the architecture and
programming environment of all IA-32 Intel&reg Architecture processors.
the IA-32 Intel Architecture Software
Develop ...
其他书籍 Noncoherent receivers are attractive for pulsed UWB systems due to the implementation simplicity. To
Noncoherent receivers are attractive for pulsed UWB systems due to the implementation simplicity. To alleviate the noise effect in detecting UWB PPM signals, this letter proposes a simple yet flexible weighted noncoherent receiver structure, which adopts a square-law integrator multiplied with a win ...
matlab例程 In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional ind
In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of th ...
matlab例程 Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX.
USB编程 his paper discuss how to design data acquisition and process system based on USB Transmitting. We
his paper discuss how to design data acquisition and process system based
on USB Transmitting. We further introduce some system’s structure such as Operation
其他 I made a lot of changed on this object,such as * // 1.Encapsulates all code in one userobjet,s
I made a lot of changed on this object,such as *
// 1.Encapsulates all code in one userobjet,since PB does not *
// support "Address of Function" , so we can not set new *
// WndProc, just makes the object more easy to use. *
// 2.Uses structure array instead of Datastore *
// 3. ...
matlab例程 ％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da
％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ ...
人工智能/神经网络 This demonstration illustrates the application of adaptive filters to signal separation using a str
This demonstration illustrates the application of adaptive filters to signal separation
using a structure called an adaptive line enhancer (ALE). In adaptive line
enhancement, a measured signal x(n) contains two signals, an unknown signal
of interest v(n), and a nearly-periodic noise signal eta(n). ...