Description: 模糊控制,的基本源程序,主要用于决策判断模糊控制,的基本源程序,主要用于决策判断-Fuzzy control, the basic source code, the main judge for decision-making fuzzy control, the basic source code, mainly used in decision making Platform: |
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Author:张文 |
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Description: (压缩包里一共有5个代码)
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维,再用lda进行特征提取,得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m),得到离散化矩阵disdata,存入到imagedisdata.mat
3.将disdata组成决策表(savers.m),通过对disdata的条件属性进行约简,得到其一个约简,组成新的测试集rstest和训练集rsstudy存为imagersdata.mat
4.对rsstudy进行模糊神经网络训练(savecul.m),对模糊神经网络的参数进行调整学习将其存入culdata.mat
5.用runfnn.m对rstest进行测试得到其识别率
savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.-pca+ lda+ Rough Set+ fuzzy neural network
saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat
Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat
2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat
3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat
4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat
5. Rstest used to test for runfnn.m by its recognition rate
cm.m is savem.m and minimum distance classifier on the training set and test set classificati Platform: |
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Author:dong |
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Description: matlab课程设计 课程报告题目:一类模糊PID控制器模糊查询表设计
2课程报告要求:按照讲课内容,在课程报告中应完整且详细地包括以下内容:
1设计任务
2确定输入量和控制量的论域及模糊参考集
3 确定模糊关系矩阵
4 输入量模糊化
5 模糊推理计算
6 模糊判决
7 模糊控制查询表
-matlab Course Design Course Report Title: a fuzzy PID controller, fuzzy look-up table designed two courses reporting requirements: According to the lecture content, the curriculum should be a full and detailed report to include the following: a design task 2 to determine and control the amount of input On the domain and fuzzy reference sets 3 to determine fuzzy relationship matrix 4 input fuzzy five fuzzy inference calculation six fuzzy decision seven fuzzy control query table Platform: |
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Author:Amberfay |
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Description: 本文展示了一种自动识别视频中移动目标的方法。论文中提取移动目标通过帧序列,这种方法不需要先验知识,比如:时间阈值调整。基于相邻帧的连续对称差分,我们能得到全分辨率显著图;然后利用最大熵方法计算阈值决定候选区域和获得兴趣点的种子;最后用修改的模糊生长方法获得最终的结果。本文中提出的算法是有效的、具有鲁棒性的。实验结果也证明它具有很好的效果。(This paper presents a method for automatic recognition of moving targets in video. In this paper, moving target is extracted through frame sequence. This method does not require prior knowledge, for example, time threshold adjustment. Continuous symmetry of adjacent frames based on the difference, we can get the full resolution salient map; then calculate the threshold decision candidate region and obtain seed points of interest using the maximum entropy method; finally, using modified fuzzy method to get the final result of growth. The algorithm presented in this paper is effective and robust. Experimental results also show that it has very good results) Platform: |
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Author:没7分不改名
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