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rbf
1、NeuralNetwork_RBF_Classification.m - 分类
2、NeuralNetwork_RBF_Regression.m - 回归">
- 2009-01-16 22:35:25下载
- 积分：1
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OP37
OP37的一个资料。欢迎大家看看OP37的一个资料。欢迎大家看看
- 2010-08-03 10:22:36下载
- 积分：1
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KN_rank_estimation
在阵列信号处理中，信号源个数的估计是一个重要问题，文献和代码给出了基于随机矩阵理论的阵列信号个数的非参检测。(In array signal processing, the estimate of the number of signal source is an important issues, documentation and code give an non-parametric detection of array signal number based on random matrix theory.)
- 2013-09-20 12:53:13下载
- 积分：1
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numberial-analysis
数值分析 (Numerical Analysis)
- 2011-05-25 16:53:23下载
- 积分：1
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t1
说明： D=1m d=2mm
当在一个缝的位置放置一个折射率n=1.4, 厚度为5mm的物质，不考虑损耗，画出此时的双缝干涉的图样
(D = 1m d = 2 mm when placed in the position of a seam of a refractive index n = 1.4 and a thickness of 5mm for the substance, and does not consider the loss, to draw the double-slit interference pattern)
- 2013-05-21 20:50:56下载
- 积分：1
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自适应粒子群算法matlab代码
说明： 利用自适应粒子群进行寻优，实验效果良好，其中具体参数要根据实际调节(Using adaptive particle swarm optimization, the experimental results are good, and the specific parameters should be adjusted according to the actual situation.)
- 2019-07-07 11:50:57下载
- 积分：1
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a4
说明： 本程序由matlab编写，通过求解光纤激光器的速率方程，给出激光功率分布(This program prepared by matlab, the rate of fiber lasers by solving the equation for the distribution of laser power)
- 2009-10-26 13:34:10下载
- 积分：1
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alamouti_space_time_coding.m
space time coding-alamouti scheme
- 2009-04-27 18:43:16下载
- 积分：1
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fig
说明： VC&Matlab混合编程实现比例导引弹道仿真(VC )
- 2008-11-07 17:27:48下载
- 积分：1
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13
说明： 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。
PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。
粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)
- 2015-04-21 16:39:12下载
- 积分：1
