搜索资源列表
MultivariateGaussianMixtureModelOptimizationbyCros
- Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
improving_the_performance_of_pso_using_adaptive_de
- 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 c
遗传算法实现旅行商问题
- 本算法中采取了种群规模为100，同时采用轮盘赌来获取种群。开始使用随机的方法得到初始的种群-the algorithm adopted a population size of 100, using roulette to access populations. Using the stochastic method initial Stocks
JohnGProakis
- 覆盖了全书的信号与线性系统、随机过程、模拟调制、模拟数字转换、基带数字传输、带限信道的数字传输、载波调制的数字传输、信道容量和编码、扩频通信系统以及数字调制方法的SIMULINK仿真的 源代码-Book covers the signal and linear systems, stochastic processes, analog modulation, analog-to-digital conversion, base-band digital transmission, band-li
CHAPTER5
- 遗传算法是一种模拟生物进化机制的随机全局优化搜索方法，具有很强的全局优化能力及鲁棒性。遗传算法属于直接搜索法，对适应函数基本无限制，既不要求连续，也不要求函数可微，而且不需要初始信息可以寻求全局最优解克服了单纯形算法初始条件影响大，易陷入局部最小等缺点，操作方便，速度快，不需要复杂的规则，且可用于多目标寻优，在解空间进行高效启发式搜索，可以提高运算速度。-The genetic algorithm is one simulation organic evolution mechanism sto
lms_code
- lms源码这是实验的代码 为了对理论进行实际的理解 仅作参考 1． 随机逼近算法模块 2． 抗噪检验模块 3．最陡下降法模块-This is the experimental lms source code to the actual understanding of the theory of reference only 1. Stochastic approximation algorithm for module 2. Anti-noise test module 3
DataTransfer_DCOM
- Variant变量可以在COM/DCOM接口方法中传递（传入、传出）不定长结构数组，但是需要打包和解包，效率比较低。这个例子使用了size_is指定长度的方法，本是从MSDN上看到的，但是MSDN上给出的例子不够具体，所以费了些时间摸索，最后试通，给刚接触COM的朋友分享（老家伙们可以直接无视）。本例子由于是工作需要做得试验程序，因此其中存在少量冗余代码，大家注意一下就行了，还有，减少传递的参数个数时，所传递的实时（随机模拟）数据只是减了最后一个（没有减去相对应的），这个Bug不妨碍大局，因此存
fulltext
- 提出了一种图像配准随机梯度下降优化与自适应步长法预测的新的图像配准的方法-Presents a decline in image registration optimization and stochastic gradient adaptive step size to predict a new method of image registration
sr
- 微弱信号检测的随机共振方法与应用研究 博士生论文-Stochastic resonance in weak signal detection method and application of doctoral thesis
Nested-sparse-grid-stochastic-collocation-method.r
- 嵌套式稀疏网格随机配置法及其在随机门延时建模中的应用Nested sparse grid stochastic collocation method in the stochastic modeling of gate delay-Nested sparse grid stochastic collocation method in the stochastic modeling of gate delay
stochastic-Newton
- 采用随机牛顿法进行系统辨识，获得比较高的辨识精度，加快收敛速度-Using stochastic system identification based on the Newton method and obtain a higher identification accuracy, and speed up the convergence
stochastic-computation
- TGM.m \\传统的Galerkin方法 MD.m \\时滞惯性流形方法 brownian.m \\演示布朗运动 randomwalk.m \\ 演示随机游走 tumor.m \\ 演示tumor演化-TGM.m \ \ traditional Galerkin method MD.m \ \ Delays inertial manifold method brownian.m \ \ demo Brownian motion randomwalk.m \ \ demo ran
Stochastic
- this file implement stochastic method in pattern recognition
gcv
- 广义交叉验证函数(GCV) 广义交叉验证函数是用随机的方法对于一个给定的值A的正则化参数的计算。-Generalized cross-validation function (GCV) generalized cross validation function is stochastic method for a given value A regularization parameter calculations.
Stochastic-optimization-method
- 随机性多次寻优法,随机性算法能够有效地寻找全局最优解。-Stochastic optimization method many times, random algorithm can find the global optimal solution.
competitor
- 自动出题随机加题法竞答器，有一个发，一个收。-Automatic topic stochastic method quizzes question is, there is a hair, a close.
Trust-region-method
- 主要研究离散型随机线性互补问题的解法，采用信赖域方法对其进行求解，在适当的假设条件下进行收敛性分析，得到了算法局部收敛收敛速度为二次的，表明了算法的可行性和有效性-The main discrete stochastic linear complementarity problem solution, trust region methods for solving them, convergence analysis carried out under appropriate assumpti
Stochastic-subspace-method
- 随机子空间法用于模态参数识别 能够识别频率阻尼-Stochastic subspace method for modal parameter identification
nbtwfrk
- 利用随机方法产生-1 +1 分布的白噪声 很好的源码 不错(Using the stochastic method to produce 1 + 1 distribution of white noise source is good very well)
chrome_100_percent
- We now compare our method to prior stochastic configurations solutions [19]. This method is even more expensive than ours. Furthermore, recent work suggests a system for creating lossless technology, but does not offer an implementation [20,21,5]. In