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nnd10lc
- Windrow-Hoff学习算法的源程序，实现ADALINE机器的自适应学习，功能用于字符识别，完全界面显示。-Windrow-Hoff learning algorithm source, the realization ADALINE machines adaptive learning, for character recognition function, the interface shows entirely.
hoff
- 霍夫变换，识别图像中的正弦曲线，从而可以更好的研究图像中的曲线的形状。
sbgcop_0.95.tar
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It al
sbgcop_0.95
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It al
hoff
- 实现编码，生成哈夫曼数 可以计算最小距离图形界面，可以点击每个叶子结点查看编码情况！-achieve coding, Huffman generate the smallest amount will be calculated from the graphical interface, can click on each leaf node View coding!
hoff
- 实现编码，生成哈夫曼数 可以计算最小距离图形界面，可以点击每个叶子结点查看编码情况！-achieve coding, Huffman generate the smallest amount will be calculated from the graphical interface, can click on each leaf node View coding!
nnd10lc
- Windrow-Hoff学习算法的源程序，实现ADALINE机器的自适应学习，功能用于字符识别，完全界面显示。-Windrow-Hoff learning algorithm source, the realization ADALINE machines adaptive learning, for character recognition function, the interface shows entirely.
hoff
- 霍夫变换，识别图像中的正弦曲线，从而可以更好的研究图像中的曲线的形状。-Hough transform to identify images of sinusoidal curve, so that we can better study the image of the shape of the curve.
sbgcop_0.95.tar
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It al
sbgcop_0.95
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It al
NeuralNetworks
- Neural Networks at your Fingertips.rar =============== Network: Adaline Network =============== Application: Pattern Recognition Classification of Digits 0-9 Author: Karsten Kutza Date: 15.4.96
LMS
- 这是一个来自权威书籍的最小均方算法(LMS algorithm),也叫Widrow-Hoff算法。-This is a book from the authority of the least mean square algorithm (LMS algorithm), also known as Widrow-Hoff algorithm.
lecture03-090302
- 神经网络教程—— Performance Surfaces —— Performance Optimization —— Widrow-Hoff Learning-Neural Network Tutorial- Performance Surfaces - Performance Optimization - Widrow-Hoff Learnin
Cpp_Coding_Standard_by_Todd_Hoff
- C++ Coding Standard by Todd Ho-C++ Coding Standard_Todd Hoff
adaptive_filter
- 最小均方自适应滤波器（LMS）是由Widrow和Hoff在1960年始创，它是以横向（即抽头延时线）结构为基础构建的。其最基本的形式设计简单，性能也高度高效。这两个特性使得LMS滤波器在各种应用中非常流行。递归最小二乘自适应滤波器（RLS）由于可提供快收敛速率而且对输入信号相关矩阵特征值扩散度变化不敏感，从而突破了LMS族的某些实际限制；其代价是增加了计算的复杂度。-the LMS algorithm of adaptive filte
lms
- LMS由美国斯坦福大学的Widrow和Hoff在研究自适应理论时提出的，由于其容易实现而很快得到了广泛应用，成为自适应滤波的标准算法。 -LMS Widrow of Stanford University by the United States and Hoff adaptive theory put forward in the study, because of its easy to implement and will
widrow_hoff
- a simple widrow hoff implementatiion
Widrow-Hoff-Training-Method
- The WH class is an implementation of the Widrow-Hoff. The Widrow-Hoff (WH) algorithm, often called Least Mean Square (LMS), is an online-algorithm. The WH can be interpreted as a gradient descent procedure on the er
hoff
- fluent利用hoff经验公式编译动态接触角-fluent use hoff empirical formula for compiling dynamic contact angle
Widrow-Hoff-Learning-Algorithm
- 编写了简单的Widrow-Hoff学习算法，绘制学习速率在0.01、0.1和0.5时的误差变化趋势，迭代了5000次，另外一个描绘了三种情况的分解面-It is about the Widrow-Hoff learning algorithm.The algorithm sets three different learnging rate as 0.01,0.1 and 0.5.