-
san_psk1
phase shift keying simulink mdl file
- 2009-10-01 01:56:31下载
- 积分:1
-
PSO-evolutionarycomputation
粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation),有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究
PSO同遗传算法类似,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍
同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练,模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)
- 2008-03-19 20:51:36下载
- 积分:1
-
Maliars_EL_87_2005
随机微分方程工具,matlab程序....(sde toolbox)
- 2013-08-16 15:03:30下载
- 积分:1
-
Gravitational_Search_algorithm
Gravitational Search algorithm
- 2011-10-28 02:56:03下载
- 积分:1
-
ribbondemo_src
Ribbon frome codeproject
- 2015-03-11 18:07:14下载
- 积分:1
-
信号分析
信号分析系统,信号生成、调制、解调,包括神经元识别(Signal analysis system)
- 2018-05-15 09:10:41下载
- 积分:1
-
anp
NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法,它是在网络分析法(AHP)基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个:
1 确定因素,并建立网络层和控制层模型。
2 创建比较矩阵。
3 按照指标类型针对每列进行规范化。
4 求出每个比较矩阵的最大特征值和对应的特征向量。
5 一致性检验。如果不满足,则调整相应的比较矩阵中的元素。
6 将各个特征向量单位化(归一化),组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘,得到加权超矩阵。
8 将加权超矩阵单位化(归一化),求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
(NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe)
- 2010-01-28 09:36:45下载
- 积分:1
-
Based-on-SVM-speaker-recognition
说明: 基于SVM的文本无关说话人识别算法研究,本文在最后用Matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。并根据对参试者进行的大量身份测试试验,总结系统的各方面性能和分析存在的问题,为进一步研究提供了方向和宝贵的经验。
(SVM-based text independent speaker recognition algorithm, the paper used in the final implementation of a Matlab program based on support vector machine speaker recognition system test platform. And tested based on the identity of those who carried out a large number of test trials, summed up the system performance and analysis of all aspects of the problems, provide a direction for further research and valuable experience.)
- 2011-03-20 10:45:21下载
- 积分:1
-
block
matlab图像处理下的特定图像的识别与距离的测量(matlab image processing of the specific image recognition and distance measurement)
- 2013-08-04 11:52:04下载
- 积分:1
-
用Matlab编写的关于Volterra级数算法的程序
用Matlab编写的关于Volterra级数算法的程序,有正在研究Volterra级数的可以看看并提出改进意见,THk(Using Matlab prepared on the Volterra series algorithm procedures, there are studies Volterra series can look and suggest improvements, THk)
- 2021-03-15 15:49:22下载
- 积分:1