long_gratings

it is about sammon map in tha clustering.

算法FCM代码，具有一定的实用性，使用时请按要求修改(FCM algorithm code, is practical, please modify as required)

CCA代码，典型相关分析代码，可用于人脸识别分析(CCA code, canonical correlation analysis code can be used for multimedia)

This file contains ConfigFS logic for the Generic Target Engine project.

包含：基于蚁群算法求解对称非对称旅行商问题 粒子群优化算法演示(PSO) 基于遗传算法(GA)的多变量旅行商问题(TSP) 遗传算法优化BP 神经网络在数据预测方面的应用 金融数量分析相关代码(Comprising: Solving Symmetric Asymmetric Traveling Salesman Problem Based on Ant Colony Algorithm Particle Swarm Optimization Demo (PSO) Multivariable traveling salesman problem (TSP) based on genetic algorithm (GA) of Genetic algorithm optimization BP neural network in forecasting data Financial analysis of the relevant code number)

流形学习的matlab集成代码，包括经典的LLE等算法(manifold learning for matlab)

这是个滤波的算法。开发环境是 matlab很好，很有用。(This is a filtering algorithms. Matlab development environment is very good, very useful.)

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)

粒子群算法（PSO）应用于神经网络优化，采样matlab编程(Particle swarm optimization (PSO) applied to neural network optimization, sampling matlab programming)

正弦干扰陷波LMS算法，一个主程序和三个子程序(Sinusoidal Interference Notch LMS algorithm, a main program and three subroutines)