资源列表
code
- 人工神经网络（Artificial Neural Networks，简写为ANNs）也简称为神经网络（NNs）或称作连接模型（Connection Model），它是一种模仿动物神经网络行为特征，进行分布式并行信息处理的算法数学模型(Artificial neural network is also referred to as neural network (NNs) or connection model. It is a mathematical model for simulating
[muchong.com]蚁群算法论文%2B源代码
- 蚁群算法是一种用来寻找优化路径的概率型算法(Ant colony algorithm is a probabilistic algorithm for searching the optimal path)
七个RBF神经网络的源程序
- 包含了RBF源代码，可以用于RBF神经网络编程，其中包括RBF聚类，K均值聚类等(It includes the RBF source code, which can be used for RBF neural network programming, including RBF clustering, K mean clustering, etc.)
steepest
- 寻求无约束优化问题的解，根据马昌凤书中算法编写(%input:f=f(x); g=the gredient of f(x); x0=the initial value %output:x=the optima of f(x);k=iteration used;opt=the optimum of f(x))
feature_selection_peng
- 用于进行特征选择的方法，可以对数据进行降维，减少冗余。(For the method of feature selection, the data can be reduced and redundant.)
LRSs
- 递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
matlab gds
- 利用matlab gds的插件 对各种几何图形进行设计(Using the MATLAB GDS plug-in to design a variety of geometric figures)
machine language learning(1)
- 机器学习实战中 各种常见算法 分类 回归 无监督学习 包括源代码的数据库(A variety of common algorithm classification regression unsupervised learning including source code database in machine learning)
light simulation
- 学习光学原理中需要用到的各种仿真程序，包括 透射 反射 调Q 光在激光腔的传输(Various simulation programs that need to be used in the principle of learning optics, including transmission and reflection modulation of Q light in laser cavity)
20 wavelengths 主程序
- 四波混频FWM多波长光纤激光器 光纤长度 掺杂浓度 泵浦功率等对输出激光功率的影响(Four wave mixing FWM multiwavelength fiber laser)
JPEG-2000-master
- jpeg code for imag ecompresison using python or java code
Hslogic-ML
- 基于MATLAB的ML算法实现，mfpga，matlab代做，hslogic(ML algorithm implementation based on MATLAB, mfpga, matlab generation, hslogic)