搜索资源列表
lle
- 流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集-Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict
gls.tar
- 关于全局优化的Matlab程序，包含局部最优化-On global optimization in Matlab, including local optimization
mabs2d_v2.1
- Input data is the MS Excel file, where the table of nodes, table of elements, nodal external loads vector and boundary conditions are stored. After running the mabs2d.m file on the Command Window, the program calculates the stiffness matrix in lo
shengyin
- 不同SVD(全局、局部）处理声音、图像、地质信号，里面有一些自己编写的函数，有的地方不太完美-different SVD（global and local) in voice，figure，Geology processing
filterbank
- proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two correspon
hundunpso
- 针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率
xml3
- 实现PSO对PID参数的优化，可以找到局部最优及全局最优参数。-PSO optimized PID parameters can be found in local optimal and global optimal parameters.
YSPSO
- 用matlab编写了带压缩因子的粒子群算法，从而有效控制粒子的飞行速度，使算法达到全局勘测、局部开采的有效平衡-Matlab prepared with a compression factor of the particle swarm algorithm, in order to effectively control the flight speed of the particles, so that the algorithm reach the global survey, an ef
Fetransh
- Compute direction cosines between three-dimensional local and global coordinate axes
Direct
- DIRECT是一种采样策略，主要运用于高维、黑箱等问题。此中采样策略可以很好的兼顾全局最优和局部最优，是一种比较好的采样方法。-DIRECT is a sampling strategy, mainly used in high-dimensional, black-box problem. Including sampling strategy can be a good balance between the global optimum and local optimum is a bet
code
- Convergence analysis and performance of the extended artificial physics optimization algorithm.artificial physics optimization (EAPO), a population-based, stochastic, evolutionary algorithm (EA) for multidimensional search and optimization. EAP
ANN-F
- 遗传算法优化BP神经网络-非线性函数拟合,将局部寻优与全局寻优相结合-Genetic algorithm to optimize BP neural network- non-linear function fitting, the local optimization combined with global optimization
pso-F
- 粒子群算法的寻优算法-非线性函数极值寻优,将全局寻优与局部寻优结合起来-Particle swarm optimization algorithm- nonlinear function optimization extreme, the global optimization and local optimization combined
jinjisoushuo
- 禁忌搜索是对局部领域搜索的一种扩展，是一种全局逐步寻优算法。搜索过程可以接受劣解，有较强的爬山能力。领域结构对收敛性有很大影响。这个程序的结构简单，为SWAP操作-Tabu Search is an extension of local search field, is a global optimization algorithm gradually. Search process can accept inferior solutions, strong climbing capabilit
mykmeans
- Image Segmentation is vital role in nowadays. The K-means algorithm usually the initial centroids for the K-means clustering are determined randomly so that the determined centroids may reach the nearest local minima, not the global optimum.
dd2kj
- 坐标转换，三维情况下，局部到整体坐标，输入参数为7个-Coordinate conversion, three-dimensional case, the local to global coordinates, the input parameters for the 7
cy
- 模糊控制的一级倒立摆仿真，采用TS模型，TTS模糊模型，是非线形复杂系统模糊建模中一个典型的模糊动态模型。这类模型采用的模糊规则：其前件是依据系统输入、输出间是否存在局部线形关系来进行划分；而其后件是多项式线形方程来表达，从而构成各条规则间的线形组合，使非线形系统的全局输出具有良好的线性描述特性。-Fuzzy Control of an inverted pendulum simulation, using the TS model, TTS fuzzy model, a non-linear
Immune-particle-swarm-algorithm
- 免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。-Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of info
ques6
- Write MATLAB code that will do the following. (a) Read a gray image and determine the histogram. (b) Equalize the histogram using normal and adaptive histogram equalization technique (Global). (c) Equalize the histogram using normal and adaptiv
sss
- - Color provide an important clue for extracting the new color LBP histogram features for face recognition using Local Binary Pattern technique. To reduce redundancy RGB color space converted to YCbCr color space. The Local Binary Pattern is a non pa