搜索资源列表
somsd
- SOM-sd 是现在国外非常流行的一个神经网络的结构自组织特征映射算法-SOM-sd are now very popular abroad, a neural network structure of self-organizing feature map algorithm
pso_in_SD
- 最新SD期刊上关于改进型PSO算法,我是通过学校内部数据库在SD下载的哦!包括《A dynamic inertia weight particle swarm optimization algorithm》、《Adaptive Particle Swarm Optimization》、《Cyber Swarm Algorithms – Improving particle swarm optimization using adaptive memory strategies》。这三篇都是比较有研
3
- 介绍了一种新型具有leader和followers的PSO算法,学校的SD查询得到!-Particle swarm optimization with a leader and followers
sd
- 最优化问题之一的算啊与代码 多级安全中敏感标记的最优化挖掘 C++算法与分析-Optimization problem with one count ah multi-level security code in the most sensitive marker of the C++ algorithms to optimize mining and analysis
sd
- C编写的自动计算数独的程序,使用了搜索算法+优化,说明里有算法思想的解释-failed to translate
MIMO-IN-WIRELESS-COMMUNICATIONS-
- 本文基于MIMO检测中性能和复杂度的矛盾,结合具体的MIMO 检测技术进行深入研究,致力于提供能有效缓解性能和复杂度矛盾冲 突的技术方案。论文首先介绍MIMO系统的基本模型,随后针对球 译码(Sphere Decoding)检测及其相关技术、搜索空间预定义检测器 (Search Space Predetermined Detector,SSPD)算法、并行计算对检 测算法的加速作用以及自动重传机制(Automatic Retransmission reQuest,ARQ)
kyuanlai
- 实现数据的kmeans聚类。对SD,AD及其他多位数据集具有良好的聚类效果。-realize kmeans on data sets and have high qunlity.
Neural-network-quxianbijin
- 设计并训练三种神经网络使之分别逼近下列函数,精度Sm偏差小于20,Ry偏差小于1.5。 (各变量取值范围: =20~90, =35~55,a1=3~13, a2=0.3~3,Sd=0.05~0.45, =0.05~0.04,L2=0.015~0.06,T=7~110)-Design and training of three neural networks respectively approximation of the following function, precision Sm dev
Gaussian-Kernal-Classification
- Gaussian Kernal Classification svmtrain(sd,Y, Kernel_Function , rbf , rbf_sigma ,0.6, method , SMO , showplot ,true)