搜索资源列表
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- 无约束优化方法，黄金分割法求函数极值，一维搜索问题-Unconstrained optimization methods, golden section method for extreme value function, one-dimensional search problems
CCasp-4.0
- CCasp网络验证系统4.0至尊版(源代码)易语言收费程序专用验证系统-自效验技术超飘零-CCasp network authentication system 4.0 Extreme Edition (source code) Easy Pay program-specific language verification system- self-efficacy technical super Homelessness
LHS
- 拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3
xunjiduanshijian
- 水文时间序列 每旬的极端事件计算，该指标用于混沌计算前期处理-Hydrologic time series of extreme events is calculated every ten days, the index is used to calculate the pre-treatment of Chaos
Homework0305
- 由以下方法求极值：(1)黄金分割法求极值 (2)使用平分法求极值(3)使用成功-失败法求极值(4)牛顿法求极值(5)使用三点二次插值法求极值(6)使用三次插值法求极值 -Extremum by the following methods: (1) golden section method for extreme (2) using bisection method for extreme (3) the use of success- failure method for extrem
elm2
- 极限学习机（Extreme Learning Machine，ELM），该算法随机产生输入层与隐含层间的连接权值及隐含层神经元的阈值，且在训练过程中无需调整，只需要设置隐含层神经元的个数，便可以获得唯一的最优解。与传统的训练方法相比，该方法具有学习速度快、泛化性能好等优点-Extreme Learning Machine regression and classification, introduce a new algorithm for SLFN- Extreme Learning Mach
image-segment
- 这是用ELM（极限学习机）做的关于图像识别的分类实验，有数据，有程序，有训练时间，测试时间和精度-It is used ELM (Extreme Learning Machine) to do experiments on the classification of image recognition, has data, procedures, training time, test time and accuracy
program
- 在matlab, 利用粒子群算法（PSO）实现函数极值优化-In matlab, using particle swarm optimization (PSO) to achieve function extreme optimization
OS-ELM
- 极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2004年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。-ELM extreme learning machine (extreme l