Location:
Search - EC matlab
Search list
Description: ec生物信息与论文实现\\matlab教程及工具箱-ec biological information and papers to achieve \\ Directory and Matlab Toolbox
Platform: |
Size: 3540 |
Author: 夏文 |
Hits:
Description: ec生物信息与论文实现\matlab教程及工具箱-ec biological information and papers to achieve \ Directory and Matlab Toolbox
Platform: |
Size: 3072 |
Author: 夏文 |
Hits:
Description: 用BP神经网络实现模糊控制规则为T=int[(e
+ec)/2]的模糊神经网络控制器。可以改变隐层节点数和学习速率。网络训练算法是变学习速率法。-BP neural network with fuzzy control rules for the T = int [(e+ Ec)/2] of the fuzzy neural network controller. Can change the hidden layer nodes and learning rate. Network training algorithm is a variable learning rate method.
Platform: |
Size: 4096 |
Author: 韩梅 |
Hits:
Description: i have select thi file plz help me to find this in matlab coad . i m form india in final year ec & doing project on it . it is *rar file
Platform: |
Size: 442368 |
Author: akanksha desai |
Hits:
Description: 里面有三个二维模糊调节器分别实现PID控制器的参数Kp，ki，Kd，的调节。其控制原理：根据前面的偏差e和偏差变化ec将三个模糊控制器FC1,FC2,FC3分别进行模糊化，模糊逻辑推理，解模糊化。最后得到pid控制器参数调节量。-There are three two-dimensional fuzzy controller to achieve PID controller parameters were Kp, ki, Kd, of the regulation. The control principle: According to the previous error e and error change ec the three fuzzy controller FC1, FC2, FC3 were fuzzy, fuzzy logic, defuzzification. Finally, adjust the controller parameters by pid.
Platform: |
Size: 30720 |
Author: 杜增明 |
Hits:
Description: 对粒子滤波算法的原理和应用进行综述’首先针对非线性非高斯系统的状态滤波问题C阐述粒子滤波的原理D然后在分析采样=重要性=重采样算法基础上C讨论粒子滤波算法存在的主要问题和改进手段D最后从概率密度函数的角度出发C将粒子滤波方法与其他非线性滤波算法进行比较C阐明了粒子滤波的适应性C给出了粒子滤波在一些研究领域中的应用C并展望了其未来发展方向-QJPRQ Elc8&m :jelf dgwd99&jvdej gq:c&decwe 9d:ejv&chj&ec:d:cqi:pcrcw’8jfjgmdeelcg g&jgcd:"g g=
#diqqjdghj&ec:9: u&cfCelcmcgc:jvjwcdq h9d:ejv&chj&ec:d:cmjpcgCudqcwgelcdgd&rqjqhqedgwd:wd&m :jelf=jf9 :edgvc=:cqdf9&jgmhj&ec:Celc9h9d:ev&chj&ec:d:cwjqviqqcwdgwqcjf9:d:cj&&iqe:decw
Platform: |
Size: 22528 |
Author: jingbohao |
Hits:
Description: 自适应波束形成多种算法的matlab实现，算法类型：MVDR,LCEC,GSC,PCI,MWF,PCA-MVB,SC-MVB,EC-A variety of adaptive beamforming algorithm matlab implementation, the algorithm type: MVDR, LCEC, GSC, PCI, MWF, PCA-MVB, SC-MVB, EC
Platform: |
Size: 22528 |
Author: 熊世华 |
Hits:
Description: 自适应波束形成多种算法的matlab实现，算法类型：MVDR,LCEC,GSC,PCI,MWF,PCA-MVB,SC-MVB,EC-A -A variety of adaptive beamforming algorithm matlab implementation, algorithm type: MVDR, LCEC, GSC, PCI, MWF, PCA-MVB, SC-MVB, EC-A
Platform: |
Size: 5120 |
Author: 晨曦 |
Hits:
Description: 微气象学中使用EC观测资料计算湍流通量的matlab程序-EC observational data used in the micro-meteorology matlab program to calculate the turbulent fluxes of
Platform: |
Size: 1024 |
Author: 梁捷宁 |
Hits:
Description: Refractive index matlab code for ec engineer
Platform: |
Size: 12288 |
Author: Bhumit |
Hits:
Description: It is a files related to basic programes of MATLAB
Platform: |
Size: 1024 |
Author: Nikhil |
Hits:
Description: 遗传算法matlab代码，经过检测无错，希望对大家有用-Genetic algorithm matlab code, error detection
Platform: |
Size: 4096 |
Author: 何汶坤 |
Hits:
Description: i want matlab code for image processing in 3d modeling technique
Platform: |
Size: 1676288 |
Author: bhavika |
Hits:
Description: 用MATLAB编写的离散模糊控制程序，结合本程序，我相信能能更快更好的理解模糊控制算法。算法在MATLAB Version: 7.14.0.739 (R2012a)运行无误。
function [FCU_T1,FCU_T2,FCU_T3,FCU_T4]=fuzzy_table(Me,Mec,Mu,UC)
Me 隶属度表1
Mec 隶属度表2
Mu 隶属度表3
UC 模糊规则
FCU_T1 重心加权法，输出精确值
FCU_T2 重心加权法，输出离散值
FCU_T3 重心加权法（对隶属度平方），输出离散值
FCU_T4 最大隶属度法
function [R,n,nE,nEC,nU,nfe,nfec,nfu]=fuzzy_relation(Me,Mec,Mu,UC)
Me 隶属度表1
Mec 隶属度表2
Mu 隶属度表3
UC 模糊规则
R 表示全体规则构成的模糊关系
n=nfe×nfec
nE 模糊变量E的语言值个数
nEC 表示模糊变量EC的语言值个数
nU 表示模糊变量U的语言值个数
nfe 表示E的等级量个数,示例1中其论域为{-6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6}
nfec 表示EC的等级量个数,示例1中其论域为{-6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6}
nfu 表示U的等级量个数,示例1中其论域为{-7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7}
Me 表示E的隶属度表
Mec 表示EC的隶属度表
Mu表示U的隶属度表
UC表示规则表-fuzzy control algorithm（matlab program）
Platform: |
Size: 4096 |
Author: yangxiao |
Hits:
Description: Ec biological information and realize the matlab tutorial of papers and toolkit is good
Platform: |
Size: 3072 |
Author: Llcyqt |
Hits:
Description: Ec biological information and realize the matlab tutorial of papers and toolkit is good
Platform: |
Size: 3072 |
Author: tai$278813 |
Hits:
Description: Binary Symmetrical Channel (BSC) and Erasure Channel (EC).
Platform: |
Size: 33792 |
Author: ghazy
|
Hits:
Description: 根据所学过的BP网络设计及改进方案设计实现模糊控制规则为T = int((e+ec)/2)的模糊神经网络控制器，其中输入变量e和ec的变化范围分别是：e = int[-2, 2]，ec = int[-2, 2]。网络设计的目标误差为 0.001。(According to the BP network design and improvement plan that we have learned, we design a fuzzy neural network controller with fuzzy control rule T = int ((e+ec) /2). The input variables E and EC vary from e = int[-2, 2], EC = int[-2, 2]. The target error of network design is 0.001.)
Platform: |
Size: 11264 |
Author: 杰洛
|
Hits:
Description: 控制器采用二维的模糊控制器，其输入信号偏差为e和偏差的变化为的de，控制对象为时滞对象： ，假设系统给定为阶跃值R=10，系统的初始值R(0)=0。本例采用的是增量控制方法，所以模糊控制器的其输出量为△U。后面经过一个积分环节，就得到了一个控制信号U。E、dE、△U的模糊论域划分为13个档次，论域取为[-10,10]之间。各个论域E, EC和△U的语言变量为{NB， NS，0，PS，PB}。采用两种方法实现pid输出曲线按的模拟。(A two-dimensional fuzzy controller is adopted. The input signal deviation is e and the variation of deviation is de. The control object is a time delay object. Assuming that the system is given as step value R=10, the initial value of the system is R (0) =0. This example uses the incremental control method, so the output of fuzzy controller for U. After an integral link, a control signal U is obtained. E, dE, fuzzy U domain is divided into 13 grades, the domain is [-10,10]. The domain of E, EC and U language variables {NB, NS, 0, PS, PB}.)
Platform: |
Size: 1024 |
Author: ヾ§ ￣▽)ゞ233 |
Hits: