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matlab
robot model, using robotic toolbox of matlab
- 2013-10-01 19:33:16下载
- 积分：1
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GenericAlgorithmPID
应用MATILAB编程实现了遗传算法整定PID控制器参数，并应用于一阶延迟模型的控制，并进行了阶跃响应仿真。(Application Programming MATILAB a genetic algorithm-tuning PID controller parameters, and applies to first-order delay model of control, and a step response simulation.)
- 2007-12-19 21:10:41下载
- 积分：1
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xianboqi
50HZ陷波器的开发，开发环境为matlab。适合做课程设计。(The 50HZ notch developers, development environment for matlab. Suitable for curriculum design.)
- 2012-10-28 10:37:39下载
- 积分：1
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modulation
识别不同的调制方式，例如AM，psk等。(Identify the different modulation methods, such as AM, psk and so on.)
- 2009-10-27 11:37:53下载
- 积分：1
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kstest-testing
如何检测数据是否服从正态分布，kstest检测。(How to detect whether the data follow a normal distribution, kstest testing.)
- 2014-09-29 14:22:16下载
- 积分：1
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pso2
粒子群优化算法 matlab程序运行良好(Particle Swarm Optimization algorithm matlab program run)
- 2012-09-07 15:18:39下载
- 积分：1
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j
In this file, we have to find how the images are imported and how it will be import and to extract the frames. Next to add the gray scale representation and color images. Finally to detect the RGB color image.
- 2013-10-01 23:16:01下载
- 积分：1
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active-learning-code
Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量
activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量
getlabel.m:根据树和测试样例，得到根据该树得到的类标
getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加)
RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树，
RandomCreateTree_d_all.m:根据所有样本点的割点建造树
randomdata.m：给定属性取值，造数据
randomselect.m:从数据中随机选择一部分作为
showTree.m:显示树的结构
test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)
- 2012-10-10 22:33:44下载
- 积分：1
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ycyhbp
优化神经网络预测，可以用于多种预测需求，需更改(Optimization of neural network prediction)
- 2014-01-13 11:23:05下载
- 积分：1
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forthcharpter
《精通MATLAB与C/C++混合程序设计》刘维第二版( Proficient in MATLAB and C/C++ mixed programming design second edition of Liu Wei)
- 2015-04-10 21:55:17下载
- 积分：1
