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Description: MATLAB函数参考手册，查看matlab函数作用以及功能。- SVMLSPex02.m
Two Dimension SVM Problem, Two Class and Separable Situation
Difference with SVMLSPex01.m:
Take the Largrange Function (16)as object function insteads ||W||,
so it need more time than SVMLSex01.m
Method from Christopher J. C. Burges:
"A Tutorial on Support Vector Machines for Pattern Recognition", page 9
Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16)
Subject to: sum{ai*yi}=0 ,function (15)
and ai>=0 for any i, the particular set of constraints C2 (page 9, line14).
The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.
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Author: 王东东 |
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Description: 拉普拉斯特征映射，采用热核构造权重，是一种基于流行学习的非线性降维技术，可用于图像分割提高聚类的性能-Laplacian Eigenmap is a kind of nonlinear dimensionality reduction technique which based on manifold study, it choose the weights W using the heat kernel and it can be used for image segmentation to promote clustering performance.
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Author: QSJ |
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Description: 介绍了一种基于 MA T L A B的多个特定人连接词语音识别的方法，并提出了在进行端点检测时，引入平均的概念能进一
步提高识别率。 此设计是以 L P C C系数、 D T W 算法为核心的基于图形界面的设计。 通过大量的实验测试 ，表明该方法基本达
到屏蔽外界环境的影响 ， 具有非常高的精度识别-: In this paper based on a number of specific persons MA TLAB conjunctions speech recognition method, and presented during endpoint detection, the introduction of the concept of the average recognition rate can be further improved. This design is LPCC coefficients, DTW algorithm as the core design based on graphical interface. Through a large number of experimental tests show that the method is basically to shield the external environment, with very high accuracy recognition
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Author: 薛莉 |
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Description: 本函数将完成W—svd模型下数字水印的嵌入，即经典的W-SVD数字水印算法-This function will finish W- SVD model under the embedded watermark, namely classic W- SVD watermarking algorithm is proposed
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Size: 2048 |
Author: 嘉嘉 |
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Description: TSP for VRP solution w/ capacity constraint using Tabu Search Algorithm
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Author: didin rosid |
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Description: You can disable this diagnostic by setting Automatic solver parameter selection diagnostic to none in the Diagnostics page of
the configuration parameters dialog.
Warning: Square root of a negative number in afcabs/SMC2/Hydraulic Actuator1/Fcn2 .
Warning: Division by zero in afcabs/Fa1 .
Warning: Division by zero in afcabs/ABS/ w slip/Fa3 .
Warning: Input to lookup table in afcabs/ABS/mu-slip friction curve is NaN. -You can disable this diagnostic by setting Automatic solver parameter selection diagnostic to none in the Diagnostics page of
the configuration parameters dialog.
Warning: Square root of a negative number in afcabs/SMC2/Hydraulic Actuator1/Fcn2 .
Warning: Division by zero in afcabs/Fa1 .
Warning: Division by zero in afcabs/ABS/ w slip/Fa3 .
Warning: Input to lookup table in afcabs/ABS/mu-slip friction curve is NaN.
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Author: mohammed |
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Description: 图与网络论中求最短路径的Dijkstra算法 M-函数
格式 [S,D]=minroute(i,m,W)
i为最短路径的起始点,m为图顶点数,W为图的带权邻接矩阵，
不构成边的两顶点之间的权用inf表示。显示结果为：S的每
一列从上到下记录了从始点到终点的最短路径所经顶点的序号；
D是一行向量，记录了S中所示路径的大小 -Graph and network theory Dijkstra' s shortest path algorithm M-function the format [S, D] = minroute (i, m, W) i is the starting point of the shortest path, m is the graph vertices, W is the graph with adjacency matrix power, does not constitute the edge between two vertices of the right to use the inf that. Showing results: S a top to bottom of each record from the beginning to the end point of the shortest path through the vertices of the serial number D is a row vector to record the path shown in the size of S
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Author: 童康 |
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Description: A matlab code to convert video into images
also to convert video to grayscale and B&W videos
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Author: Udaya |
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Description: W.T.Freeman 经典 基于例子的超分辨率重构matlab源码，图片自己可加，经测试可用-WTFreeman classic example of super-resolution reconstruction based on matlab source code, images themselves can be added, the test can be used
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Author: 柳益君 |
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Description: 嵌入维数自适应最小二乘支持向量机
状态时间序列预测方法
Condition Time Series Prediction Using Least Squares Support Vector Machine
with Adaptive Embedding Dimension
针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应
最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
数, 以交叉验证误差为评价准则, 利用粒子群优化( P SO ) 进化搜索LSSV M 预测模型的最优超参数与嵌入维
数, 同时通过矩阵变换原理提高交叉验证过程的计算效率, 并最终建立优化后的L SSVM 预测模型。航空发
动机排气温度( EGT ) 预测实例表明, 该方法可自适应选取适用于状态时间序列预测的最优嵌入维数且预测
精度高, 适用于航空发动机状态时间序列预测。- T o deal wit h the difficulty of selecting an appro pr iate embedding dimension for aeroeng ine co ndition
time series predictio n, a metho d based o n least squar es suppo rt vecto r machine ( L SSVM ) with ada ptive em
bedding dimension is pro po sed. I n the method, the embedding dimensio n is identified as a parameter that af
fects the accuracy o f the aer oengine condition time series predictio n par ticle sw arm o ptimizat ion ( P SO) is ap
plied to optimize the hyperpar ameter s and embedding dimension of the L SSV M pr edict ion model cro ssv alida
tion is applied to evaluate the perfo rmance o f the L SSVM predictio n mo del and matr ix tr ansfo rm is applied to
the L SSVM pr ediction model tr aining to accelerate the crossvalidation evaluation pro cess. Ex periments on an
aeroengine ex haust g as t emperatur e ( EGT ) predictio n demonst rates that the metho d is hig hly effective in em
bedding dimension selection. In compar ison w ith co nv
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Description: “Gradient based image transition region extraction and segmentation”（基于梯度的过渡区提取与分割）MatLAB 源码。-MatLAB code of “Gradient based image transition region extraction and segmentation”。
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Description: Writes a 3D (x,y,z,u,v,w) vector field to a binary VTK file for Paraview.
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Author: lsx |
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Description: communications file mimo ofdm simulayions in matlab
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Author: husam |
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Description: 在风力发电的模拟系统中,风速模拟是一个重要的环节,正确的风速模型不仅能够很好的
反应实际风速变化情况,而且能够给风力发电系统研究提供正确的源参数。本文用
Matlab/Simulink建立了风速组合数学模型,该模型将风速分为基本风速、阵风、渐变风速和噪声风
速4部分,仿真结果表明该模型能够理想的反应实际风速
-Wind speed simulation is an important part in the simulation of wind power generation system, wind speed model can well reflect the actual wind speed changes, but also to provide the correct source parameters to the wind power system studies. Wind speed combination of mathematical model using Matlab/Simulink, the model will be divided into basic wind speed, gust, gradient, wind speed and noise wind wind simulation results show that the model can be the ideal response to the actual wind
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Size: 247808 |
Author: 快淹死的yu |
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Description: 对节点数N=5的泊松边值问题进行超松弛迭代计算，迭代因子w=1,1.25,1.5。结果输出迭代次数、迭代解与精确解的2-范数以及画图表示最终结果。-The number of nodes N = and The Poisson Boundary Value overrelaxation iterative iterative factor w = 1,1.25,1.5. Output result the number of iterations, the iterative solution with the exact solution of 2- norm Draw a figure showing the final results.
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Author: 王迎 |
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Description:
How to Use This Book
1
2
Mathematical and Simulation Models in Business Economics
16
3
MATLAB and Simulink Design Guidelines
26
4
Importing and Reporting Your Data
53
5
Library Functions for Business Economics
83
6
Economic Impact Models
110
7
Fiscal Impact Models
137
8
Tax Revenue and Tax Policy
149
9
Regional Economics
164
10
Applications for Business
182
11
Business Valuation and Damages Estimatio,
How to Use This Book
1
2
Mathematical and Simulation Models in Business Economics
16
3
MATLAB and Simulink Design Guidelines
26
4
Importing and Reporting Your Data
53
5
Library Functions for Business Economics
83
6
Economic Impact Models
110
7
Fiscal Impact Models
137
8
Tax Revenue and Tax Policy
149
9
Regional Economics
164
10
Applications for Business
182
11
Business Valuation and Damages Estimatio
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Size: 3561472 |
Author: hassan |
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Description: 利用matlab实现下面的问题：其中u(k)和z(k)分别为模型的输入和输出变量；v(k)为零均值、方差为1、服从正态分布的白噪声；为噪声的标准差；利用得到的u(k)和z(k)来辨识模型的阶次和参数。-Using matlab to achieve the following questions: where u (k) and z (k) respectively, the input and output variables of the model v (k) with zero mean and variance 1, follow a normal white noise noise standards Poor utilization u (k) and z (k) to identify the order and parameters of the model.
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Author: |
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Description: 对灰度图片进行线性灰度变换的Matlab程序。-Grayscale images for linear gray transform Matlab procedures.
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Author: 黄开成 |
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Description: Object detection and tracking are important in many computer vision applications including activity recognition, automotive saf ety,
and surveillance. In this example, you w ill develop a simple f ace tracking system by dividing the tracking problem into three
separate problems:
1. Detect a f ace to track
2. Identif y f acial f eatures to track
3. Track the f ace
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Size: 887808 |
Author: Nurita |
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Description: These MATLAB M files supplement the book, Digital and Analog Communication Systems, 7th
Edition (United States), by Leon W. Couch, II, Prentice Hall, Upper Saddle River, NJ, 2006.
This directory contains MATLAB (trademark of Math-Works, Inc.) M files for selected
equations, figures, tables, examples, and study-aid examples, in this book that are marked with
a computer symbol. Files for computer homework problems are included only if the
homework problems are marked with a i. To run these MATLAB *.M files a copy of
the student version of MATLAB
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Size: 96256 |
Author: burak |
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