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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
test1
- (1) 编写程序实现对mian函数参数的解析 参数1表示运算类型(1:加法,2:减法,3:乘法,4:除法,5:求余数) 参数2、3分别表示两个运算数 (2) 分别用局部变量、全局变量、静态变量来接受解析出来的三个参数,并打印它们的地址、大小、以及存储的值;分析局部变量、全局变量以及静态变量存储的空间位置,和暂用空间的大小 -(1) preparation program analysis mian function param
seg-ijcv
- This paper addresses the problem of segmenting an image into regions. 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
global2local_ang
- 三维坐标变换欧拉旋转变换 全局坐标系下的角度和本地坐标系下角度的欧拉旋转变换-Euler rotation transformation of the three-dimensional coordinate transformation Euler rotation transform the point of view of the global coordinate system and the local coordinate system point of view
new
- 本系统通过将基于改进的加权的局域颜色直方图的图像检索方法和全局直方图的图像检索方法相结合,提高查全率和查准率。其中,基于分块局域直方图的检索方法利用了图像中间部分的重要性,将图像平均划分成3×3个子块,取中间一块的图像,计算其与参考位图相应位置的颜色特征距离,再计算原图的颜色直方图与参考位图的颜色特征距离,分别赋予权值后得出的值就是图像之间内容的相似程度。本文引入欧氏距离的相似性度量方法实现图像检索。实验表明,该方法具有较好的查全率和查准率。-The system through a combi
minic_interpreter
- 一款比较完善的强大的C语言解释器,附带源码,可以嵌入到用户应用程序中。支持对比较复杂的C代码的解释执行。完美支持各种标准C语言语法,如if-else结构语句, ?:结构求值语句,for循环,while循环,do...while循环等 支持各种数据类型包括: char,short,int,string,float 支持多维数组及指针 支持自定义函数以及系统函数 支持局部变量以及全局变量,允许在变量定义时直接初始化 支持局部变量层次化作用域;允许定义系统常量;支持系统内部定义数据类型,但不支持用户在
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
swarm-optimization-algorithm-
- 子群优化算法,并把次算法用于求解旅行商问题.为了增强算法的局部搜索能力,在改进的算法中加入倒置,局部搜索等方法,同时利用遗传算法的全局搜索能力强的特点对求到的解再进行优化,同时,对于搜索全局最优路径方面,通过应用消除交叉路径的方法进行了优化.-Sub swarm optimization algorithm, and the second algorithm is used to solve the traveling salesman problem. In order to enhance
Simulated-Annealing
- 由于K-means 聚类方法对遥感图像进行分类时,对训练样本的选取依赖性很大,容易陷入局部最优的陷阱的情况,本文提出利用模拟退化算法对K-means 的聚类进行优化以获得 全局最优解的分类新方案。并以多波段影像为例进行验证分析,结果表明该方法可行,收敛 结果优于K-means 聚类算法,分类精度相对传统的K-means 算法更高。-Because K-means clustering classification depend on the training sample selecti
Copy_of_psoceshi1
- 人工鱼群算法,可以进行全局寻优和局部寻优。-Artificial fish algorithm, can be a good global search and local optimization.
Cat
- Shu-ChuanChu受到猫日常行为动作的启发,于2006年提出了猫群算法。猫群算法的最大特征表现为在进化过程中能够同时进行局部搜索和全局搜索,具有很好的收敛速度-Shu- ChuanChu inspired by cats everyday actions, cat swarm algorithm is proposed in 2006. Cat swarm algorithm of the biggest characteristic is in the process of evolut
sapso
- 为了平衡粒子群算法的全局搜索能力和改良局部能力,采用非线性的动态惯性权重即自适应权重法。给出一个用自适应权重的粒子群算法求多元复杂函数的最小值实例。-To balance the PSO global search capability and improved local capacity, the use of non-linear dynamic adaptive inertia weight that the weighting method. Gives an adaptive wei
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
pso
- 本文为基于matlab的粒子群算法的程序,以求函数最小值为例,讲述如何用粒子群算法求得局部和全局最优解。-This article is based on particle swarm algorithm matlab procedures, in order to the minimum function, for example, on how to use PSO obtain local and global optimal solution.
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.
lab1.tar
- write some function with logical sign-ou will provide your solution to the Data Lab by editing the collection of functions in this source file. CODING RULES: Replace the "return" statement in each function with one or more lines of