搜索资源列表
NGC_ACM
- 图割(GC)和主动轮廓模型(ACM)相结合的一种图像分割方法,既可以进行局部图像的分割,也可进行全局图像的分割,简单实用。-A combination of graph cuts (GC) and the active contour model (ACM) image segmentation method, either local image segmentation, global image segmentation, simple and practical.
Genetic Nonlinear Matlab
- 遗传算法虽然全局搜索能力较强,但是局部搜索能力较弱,一般只能搜索到函数优化问题的次优解,而不是最优解,特别是函数具有多个峰值时,遗传算法易陷入局部极小,不能找到真正的全局最优解。非线性规划因多采用梯度下降方法求解,而具有极强的局部搜索能力。因此,本源代码结合两种算法的优点,一方面采用遗传算法进行全局搜索,另一方面采用非线性规划进行局部搜索,以得到函数优化问题的全局最优解。实验证明,这种方法不仅能解决多峰函数寻优易陷入局部极小的问题,而且具有很高的迭代寻优效率,取得了满意的结果。-Global s
OpenGLTeaportRotation
- VS2008,OpenGL光照模型,局部光照,全剧光照-VS2008,OpenGL Light model local light model and global light model
hmin
- 对输入图像作局部最大化和全局最大化操作,输出特征,已生成esw文件,可以在matlab中直接调用-Local maximize global maximize operating the input image, the output characteristics, have been generated the esw files, can be called directly in matlab
HS
- 這種方法通常用來增加許多圖像的全局對比度,尤其是當圖像的有用數據的對比度相當接近的時候。通過這種方法,亮度可以更好地在直方圖上分布。這樣就可以用於增強局部的對比度而不影響整體的對比度,直方圖均衡化通過有效地擴展常用的亮度來實現這種功能。 -This method is usually used to increase the global contrast of many images, especially when the useful data of the image contras
nmea_read
- NMEA语句读取程序,实现了GPZDA\SDDBS\等解释- NMEALINEREAD currently supports the following NMEA sentences: $GPGGA Global positioning system fixed data $GPGLL Geographic poition [latitude, longitude & time]
ridi
- 这个程序是通过opengl实现模拟太阳、月亮、地球的在三维空间中进行旋转,还加了些纹理,对了解opengl坐标变换、全局坐标、局部坐标的设置有很多帮助。-This program is in three-dimensional space through opengl analog sun, the moon, the earth rotates, also added some texture understanding opengl coordinate transformation, gl
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
chenxu
- 使用粒子群算法解决优化问题,该算法有全局搜索和局部搜索能力,方便快捷。-Particle swarm algorithm to solve the optimization problem, the algorithm global search and local search capability, quick and easy.
PNRP
- PNRP编程,可列出本机上的所有可用云的名称,将一个资源发布到本地云、全局云和所有可用云,然后分别从这三个位置搜索这个资源,统计搜索时间多少-PNRP programming, can be listed in the name of all the available cloud native, publish a resource to the local cloud, global cloud and all the available cloud, then were these thr
segment
- We de¯ ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an e±cient segmentation algorithm based on this predicate, and show that although this algo
kernel-function
- 核函数的画法 包括全局核函数,局部核函数,分段核函数。-The painting of the kernel function including global nuclear function, local kernel function, segmented kernel function.
genetic-algorithm
- Rosenbrock函数的全局最大值,使用遗传算法计算。f(x1,x2) = 100 (x12-x2)2 + (1-x1)2; -2.048 ≤ xi ≤ 2.048 (xi=1,2)。 该函数有两个局部极大点,分别是:f(2.048, -2048)=3897.7342和f(-2.048,-2.0048)=3905.9262其中后者为全局最大点。 -Rosenbrock function global maximum, calculated using a genetic algo
ezh
- 一种基于全局均值和局部方差的图像二值化方法-Based on the global mean and local variance image binarization
TSP
- 1 以10/30个结点的TSP问题为例,用遗传算法加以求解; 2 掌握遗传算法的基本原理、各个遗传操作和算法步骤; 3 能求出问题最优解,若得不出最优解,请分析原因; 4 要求界面显示每次迭代求出的局部最优解和最终求出的全局最优解。-For example, 1 to 10/30 junction TSP problem with a genetic algorithm to solve 2 mastered the basic principles of the gene
BPpredictinof-flood
- 针对BP 算法易陷入局部极小、收敛速度慢等缺点,遗传算法是全局优化算法和具有很强的全局搜索能力,遗传算法优化BP 神经网络初始连接权值和阈值形成混合算法。以安徽宣城市为例,将汛期降水量作为预测对象,前期74 项大气环流特征量、500 hPa、100 hPa 月平均高度场、月平均海平面气压场和月平均海温场资料中选取预测因子,建立汛期降水短期气候预测模型。-BP algorithm is easy to fall into local minimum, slow convergence, genet
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
toydata
- 一种新的半监督方法LLGC局部与全局一致性-A new semi-supervised method LLGC with local and global consistency