-
WENO
weno格式解决一维黎曼问题的代码，fortran90编写(Fortran code for Riemann problem solver in weno scheme)
- 2021-03-21 10:49:17下载
- 积分：1
-
total-least-square
加权总体最小二乘算法在直线拟合拟合的应用，算法为方兴博士论文中的算法1(total least square linear fitting)
- 2015-08-11 18:31:06下载
- 积分：1
-
dbr1
采用传输矩阵法计算，计算多层周期性介质薄膜在不同入射波长下的反射率。(calculate the reflectivity of multilayer periodic structure with TMM method)
- 2020-08-23 14:48:20下载
- 积分：1
-
Dijkstra
可实现Dijkstra算法，显示起始点到其它各节点的最短距离和路径(Dijkstra algorithm can be implemented to show the shortest distance and path from the starting point to other nodes.)
- 2020-06-25 02:00:02下载
- 积分：1
-
zuijinercheng
基于C环境下的最小二乘法的计算编程算法相当相当实用。(C based on the circumstances of the least squares algorithm for calculating the programming very well.)
- 2009-05-12 23:42:37下载
- 积分：1
-
yei-V4.2
自己编的5种调制信号，通过反复训练模板能有较高的识别率，DC-DC部分采用定功率单环控制。( Own five modulation signal, Through repeated training VxODOGFlate have higher recognition rate, DC-DC power single-part set-loop control.)
- 2017-04-19 08:49:21下载
- 积分：1
-
CUDA-SAR-
在VS2005环境下，使用CUDA编程实现SAR成像中CSA算法的实现，得到了很好的加速比。(In the VS2005 environment, using the CUDA programming SAR imaging algorithm implementation in the CSA, has been very good speedup.)
- 2011-07-20 15:23:16下载
- 积分：1
-
lyapunov_wolf
lyapunov指数求解，采用wolf法，计算速度极快(lyapunov Index solving, using wolf law, the calculation speed)
- 2007-10-08 09:49:07下载
- 积分：1
-
SIMPLE
安德森/计算流体力学/fortran源代码(第九章esimple算法）(Anderson/Computational Fluid Dynamics/fortran source code (Chapter esimple algorithm))
- 2021-01-26 15:38:36下载
- 积分：1
-
Tripleinvertedpendulumweightedfuzzyneuralnetworkco
为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上,
设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混
合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比,
表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。(In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision.)
- 2009-05-30 12:46:16下载
- 积分：1
