搜索资源列表
L-M算法(BP的一种改进算法)应用实例
- L-M算法(BP的一种改进算法)应用实例-L-M algorithm (BP an improved algorithm) Application
l-system
- 基于BSP 和L-system 植物的随机生成和模拟的研究-Based on BSP and L-plant system of random generation and simulation research
K-L
- 模式向量维数太大，无法进行模式识别,降维 -k-l
K-L
- 基于K-L算法的人脸识别matlab程序代码-KL-based face recognition algorithm matlab code
Code_MATLAB_Optimization
- 这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
data_structure
- 数据结构与程序设计——C++语言描述（影印版）习题的答案 【作 者】Robert L.Kruse，Alexander J.Ryba -Data Structure and Program Design- C++ language descr iption (photocopy edition) Exercise the answer 【作者】 Robert L. Kruse, Alexander J. Ryba
l1benchmark
- l1benchmark 这个算法包提供了十种求解带稀疏约束的矩阵方程 AX=b 的 MATLAB 实现代码，并提供了一个比较各种算法求解结果的演示。-An L1-norm minimization benchmark package, which contains an implementation of ten L1-norm minimization algorithms in MATLAB. The package also provides a test scr ipt for comp
L-curve
- L-曲线法是反问题正则化方法中的参数选取中的重要方法，本程序给出了如何恰当选取其中的参数！-L-curve method is the inverse problem regularization method of parameter selection in an important way, this procedure is given on how to properly select one of the parameters!
KL2
- 本程序利用K-L变换已经K-L变换的最优压缩，建立分类器，并选择投影方向，画出投影过后的效果-This procedure has been the use of KL transform KL transform optimal compression, the establishment of classifier, and choose the direction of projection, drawn after the effect of projection
K-LjiaLDA
- K-L+LDA结合了K-L和LDA优点的一个算法-K-L+ LDA combination of KL and the advantages of an algorithm for LDA
L
- lms算法源程序 - lms code
L-BFGS
- 自己编的，实现l-bfgs解无约束优化问题-Own, and the realization of l-bfgs Unconstrained optimization problems
Lcurve
- L曲线具有很多的优点，这是用MATLAB编写的病态方程的L曲线解决方法，可以通过L曲线确定所需的参数。-L curve has many advantages, it is written in MATLAB morbid equation L curve solution that will be needed through the L curve to determine the parameters.
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
KL100
- K-L特征压缩器的原理是利用K-L变换的优良性质,即K-L变换可消除原向量各分量间的相关性。-KL compressor characteristic is the use of KL transform the principle of good nature, that the original vector of KL Transform to eliminate the correlation between the various components.
sparseBSS1
- 稀疏分量分解。 function [y A]=sparseBSS1(X,L,langda,G,h,delta)-function [y A]=sparseBSS1(X,L,langda,G,h,delta) ---------------------------------------------------------------- 2009-04-15 YangZhicong X: observed signal,each ro
Data_struct_2
- 数据结构课后设计题第二章(2009-06-17 23:19:42)转载标签：数据结构第二章杂谈 分类：编程 ◆2.11② 设顺序表L中的数据元素递增有序。 试写一算法，将x插入到L的适当位置上，并保 持该表的有序性。 要求实现下列函数： void InsertOrderList(SqList &L, ElemType x) 顺序表类型定义如下： typedef struct { ElemType *elem int length
l_curve
- l_curve.m L曲线准则-l_curve.m L_curve principle............
L-M
- L-M,BP网络算法，用matlab语言编译-LM, BP network algorithm with matlab compiler
L
- 计算L指标，电力系统的稳定性指标之一，常用于各种计算潮流中(L index calculation, the stability of a power system is one of the commonly used in various kinds of computing trend)