kuoda

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

Detect the type and convert the image to one out of four types: BW, LABELED, CONTOUR,LIKELIHOOD. This program can be used as a part of automatic image recognition tool.

bch码生成程序。可选择生成矩阵、生成组数、误码率。(bch code generation process. Optional generation matrix, generating the number of groups, the bit error rate.)

基于BP神经网络的多输入多输出PID系统参数整定(MIMO-PID Controller based on BP Neural Network)

该算法主要针对稀疏矩阵的表示，适合初学者进行学习应用(The algorithm for sparse matrix suitable for beginners to learn the application)

基于小波变换和OMP算法的稀疏表示,不仅包括适用于黑白图片的程序，也包括适用于彩色图片的程序。(the sparse representation basing on wavelet and omp,not only for the gray image,but also color image )

信号检测与估计中的算法频率估计，是三种不同算法对信号频率的估计(Signal detection and estimation of the frequency estimation algorithm)

层次聚类算法中变色龙算法在MATLAB里的代码实现案例(Hierarchical clustering algorithm, chameleon algorithm in MATLAB code implementation case)

SLToolKit Silverlight图片展示(SLToolKit Silverlight)

a project for pattern classification by ART neural network (with GUI).