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Description: 鲁棒控制器设计，由于RBF网络可以实现任意逼近的非线性关系，它的目标是要做到误差平方和最小，与非线性PCA的目标一致，所以上述非线性PCA的模型可以通过采用两个RBF网络来实现非线性正变换 和反变换 。RBF网络是一个三层前馈网络，隐层采用径向基函数作为激励函数。第一个RBF网络把高维空间的数据映射到低维空间（如图4），第二个RBF网络将前面网络输出的低维空间数据再映射到高维空间，实现数据恢复(如图5)。这两个网络分别进行训练。-robust controller design, as RBF networks can achieve arbitrary nonlinear approximation, Its goal is to achieve the minimum squared error, and nonlinear PCA have the same goal So these nonlinear PCA model may be adopted by two RBF networks to achieve nonlinear transformation and inverse transform. RBF network is a feed-forward network, hidden layer RBF function as an incentive. RBF a network of high-dimensional data mapping space to the low-dimensional space (figure 4), second RBF network will be in front of the output of low-dimensional space mapping data again to a high-dimensional space. data Recovery (figure 5). The two networks separately for training.
Platform: |
Size: 1549 |
Author: 浇洒距离 |
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Description: 本程序实现两个整数平方和相加并且输出结果-the program two integers and the sum of squared output
Platform: |
Size: 3596 |
Author: 李铭 |
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Description: test1.m 固定增量法求分界面
test2.m 利用误差平方和函数集群
delet.m 删除数组元素
Err.m 计算误差平方和
Distance.m 欧拉距离计算
-test1.m fixed incremental method for use interface test2.m squared error function cluster de let.m delete array elements Err.m calculation error square Distance.m Euler distance
Platform: |
Size: 4822 |
Author: 杨奎元 |
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Description: 最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。-least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum.
Platform: |
Size: 187392 |
Author: 林楚 |
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Description: lms 代码程序 供参考 挺不错的
-lms code procedures for reference quite good
Platform: |
Size: 405602 |
Author: 李颂 |
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Description: 最小二乘法回归，输入因、自变量，输出回归系数，T值,R平方等-least squares regression, imports, since the variables, output regression coefficient, T, R-squared, etc.
Platform: |
Size: 2992 |
Author: 李楠 |
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Description: 本程序实做MLP(Multi-layer perceptron)算法，使用者可以自行设定训练数据集与测试数据集，将训练数据集加载，在2、3维下可以显示其分布状态，并分别设定键节值、学习率、迭代次数来训练其类神经网络，最后可观看辨识率与RMSE（Root Mean squared error）来判别训练是否可以停止。
Platform: |
Size: 1213339 |
Author: 楊易 |
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Description: 系统聚类算法K-means 属于聚类分析中一种基本的划分方法，常采用误差平方和准则函数作为聚类准则，该算法在处理大数据集时是相对可伸缩且高效率的，同时具有潜在的数据并行性。但是这种算法依赖于初始值的选择以及数据的输入顺序；此外，当运用误差平方和准则函数测度聚类效果时，如果各簇的形状和大小差别很大，为使误差平方和 Jc 值达到最小有可能出现将大的聚类簇分割的现象。-system clustering algorithm K-means cluster analysis is a basic method is often used squared error criterion function as a cluster criteria, the algorithm in handling large data sets are relatively scalable, high-efficient and has the potential of data parallelism. However, this algorithm depends on the initial value of the options and data input sequence; In addition, when using square error of measurement function and the criteria clustering effect, if the cluster size and shape vary greatly, the square error for the Jc value and minimize the possibility of the emergence of large cluster segmentation clustering phenomenon.
Platform: |
Size: 1834 |
Author: tang |
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Description: 系统聚类算法K-means 属于聚类分析中一种基本的划分方法，常采用误差平方和准则函数作为聚类准则，该算法在处理大数据集时是相对可伸缩且高效率的，同时具有潜在的数据并行性。但是这种算法依赖于初始值的选择以及数据的输入顺序；此外，当运用误差平方和准则函数测度聚类效果时，如果各簇的形状和大小差别很大，为使误差平方和 Jc 值达到最小有可能出现将大的聚类簇分割的现象。-system clustering algorithm K-means cluster analysis is a basic method is often used squared error criterion function as a cluster criteria, the algorithm in handling large data sets are relatively scalable, high-efficient and has the potential of data parallelism. However, this algorithm depends on the initial value of the options and data input sequence; In addition, when using square error of measurement function and the criteria clustering effect, if the cluster size and shape vary greatly, the square error for the Jc value and minimize the possibility of the emergence of large cluster segmentation clustering phenomenon.
Platform: |
Size: 2048 |
Author: tang |
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Description: 鲁棒控制器设计，由于RBF网络可以实现任意逼近的非线性关系，它的目标是要做到误差平方和最小，与非线性PCA的目标一致，所以上述非线性PCA的模型可以通过采用两个RBF网络来实现非线性正变换 和反变换 。RBF网络是一个三层前馈网络，隐层采用径向基函数作为激励函数。第一个RBF网络把高维空间的数据映射到低维空间（如图4），第二个RBF网络将前面网络输出的低维空间数据再映射到高维空间，实现数据恢复(如图5)。这两个网络分别进行训练。-robust controller design, as RBF networks can achieve arbitrary nonlinear approximation, Its goal is to achieve the minimum squared error, and nonlinear PCA have the same goal So these nonlinear PCA model may be adopted by two RBF networks to achieve nonlinear transformation and inverse transform. RBF network is a feed-forward network, hidden layer RBF function as an incentive. RBF a network of high-dimensional data mapping space to the low-dimensional space (figure 4), second RBF network will be in front of the output of low-dimensional space mapping data again to a high-dimensional space. data Recovery (figure 5). The two networks separately for training.
Platform: |
Size: 1024 |
Author: 浇洒距离 |
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Description: 本程序实现两个整数平方和相加并且输出结果-the program two integers and the sum of squared output
Platform: |
Size: 3072 |
Author: 李铭 |
Hits:
Description: test1.m 固定增量法求分界面
test2.m 利用误差平方和函数集群
delet.m 删除数组元素
Err.m 计算误差平方和
Distance.m 欧拉距离计算
-test1.m fixed incremental method for use interface test2.m squared error function cluster de let.m delete array elements Err.m calculation error square Distance.m Euler distance
Platform: |
Size: 4096 |
Author: 杨奎元 |
Hits:
Description: 最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。-least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum.
Platform: |
Size: 187392 |
Author: 林楚 |
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Description: 若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成
W（n+1）=w（n）+ e（n）x（n）
=w（n）+ （3.1）
式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。
-Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.
Platform: |
Size: 3072 |
Author: 闫丰 |
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Description: Relationship Between the Sum of Squared Difference (SSD)
and Cross Correlation for Template Matching
Konstantinos G. Derpanis
York University
kosta@cs.yorku.ca
Version 1.0
December 23, 2005
Platform: |
Size: 41984 |
Author: li |
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Description: calculates the squared euclidean distance between all pairs of rows of two matrices. -calculates the squared euclidean distance between all pairs of rows of two matrices.
Platform: |
Size: 1024 |
Author: qingpg518 |
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Description: 使用SSD（sum squared differences）算法进行双摄像机图像匹配点计算，基于OpenCv的C++代码实现-Using SSD (sum squared differences) algorithm dual camera image matching points calculation, based on the OpenCv the C++ Code
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Size: 1866752 |
Author: 梁霄 |
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Description: In numerical analysis, Aitken s delta-squared process is a series acceleration method, used for accelerating the rate of convergence of a sequence. Its early form was known to Seki Kōwa and was found for rectification of the circle, i.e. the calculation of pi. It is most useful for accelerating the convergence of a sequence that is converging linearly.
Platform: |
Size: 1024 |
Author: Kitty |
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Description: SSD - Sum of squared Differences
Platform: |
Size: 1024 |
Author: NOBO |
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Description: android的九宫格解锁进入程序，发点资源给大家一起分享分享 一起进步-android squared unlock enter the program, point to share resources together to share progress
Platform: |
Size: 781312 |
Author: zfs |
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