资源列表
PSO_written_with_java
- 粒子群算法，采用java编写，适合需要使用java作为编写算法工具的开发人员。(Particle swarm optimization algorithm, written in Java, is suitable for developers who need to use Java as an algorithm tool.)
svm
- 简单介绍了支持向量机原理，并介绍了部分案例(A brief introduction to support vector machines)
vuvtpbx
- 简单的OA协同办公系统，简单的实现了用户管理、部门管理、岗位管理以及论坛相关的功能.(Simple OA collaborative office system, simple implementation of user management, department management, post management and forum related functions.)
第四章图1-8
- 传感器阵列波束优化设计与应用第四章 图1-图8 旁瓣控制波束形成，不同窗函数的比较和凹槽噪声发(Beam optimization design and application of sensor array fourth chapters 1- map 8 Sidelobe controlled beamforming, comparison of different window functions and groove noise)
slpa-py-master
- 基于标签传播的复杂网络的重叠社区发现方法:SLPA.(The Label Propagation Algorithm for overlapping community detection in complex networks.)
Residual-Networks
- 残差神经网络的Python实现,用于机器学习的图像识别方向。(Python implement on Residual Network)
matlab贝叶斯分类(1)-简单样本集
- 利用matlab实现贝叶斯分类，采取“留一法”选取训练集和测试集，最后返回准确率为0.8571。(Bias classification is realized by MATLAB, and training set and test set are selected by "leaving one method", and the accuracy of return is 0.8571.)
启发式算法
- 利用启发式算法解决图着色问题，包括禁忌表，仇人表等一系列操作(Solving the problem of graph coloring with heuristic algorithm)
path-master
- 实现了基于遗传算法的航路规划,单无人机路径规划(path planning genetic alg)
GPU-BA
- 光束法区域网平差的GPU实现，减少对内存的占用，并行处理加快速度。(The GPU implementation of bundle adjustment of regional network reduces the occupation of memory and speeds up parallel processing.)
GMMs作业
- 机器学习作业GMMs算法实现，机器学习课程的一个小作业，没什么用。(Implementation of machine learning task GMMs algorithm)
gassmann
- 利用gassmann方程进行流体替换，已知一种流体饱和岩石的体积模量计算另一种流体饱和岩石的体积模量(gassmann equation is used for fluid substitution)