资源列表
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合(Genetic algorithm optimizes BP neural network nonlinear function fitting)
nueral_network
- 最基本的神经网络源码，初学者的福利，可以通过此了解神经网络的实现。(The most basic source code of neural network, the welfare of beginners, through which we can understand the realization of neural networks.)
20171211留档
- 利用SVM对制备的样本进行三分类，对图像进行三角形匹配，模板匹配(SVM was used to classify the samples in three categories. Triangle matching and template matching were applied to the images.)
RocAlphaGo-cython-optimization
- 仿照谷歌alphago原理的围棋程序，目前只有快速走子网络还没有完善好(this is a program according alphago theory)
ALGOINTRO
- 《算法导论（原书第3版）》英文，很经典的一本书(Introduction to algorithms 3rd English)
GA
- 遗传算法求解TSP，可以运行，效果好。。(Genetic algorithm for TSP)
shujvwajue
- Apriori算法C++实现，备注见代码，读取数据文件可用，格式为多行数据。数字代表事物(Apriori algorithm C++ implementation, notes see code, read data files available, format for multi row data. Numbers represent things)
Kmeans_java
- 使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)
R-FCN
- R-FCN全卷积网络的目标检测神经网络，算法性能优于Faster R-CNN(R-FCN is an full convultional network, the performance of R-FCN outperform the Faster R-CNN)
lfm
- 重叠社区发现LFM算法，基于python实现，导入的文件是lfr基准测试网络，里面写了检测指标，文件可更改，算法通过网络邻接矩阵来实现社区划分(The overlapping community found the LFM algorithm, based on the python implementation, the imported document is the LFR benchmark network, in which the detection index is written
dstar-lite-master
- 基于dijikstra和A*算法的改进A*算法，能在路径规划的各阶段更新节点信息，规划新的路径(The improved A* algorithm based on dijikstra and A* algorithm can update node information in all stages of path planning and plan new path.)
VMD
- 使用可变模式分解的神经网络预测模型，可用于风速、电价预测等等。(Neural network prediction model using variable pattern decomposition can be used for wind speed, price forecasting and so on.)