资源列表
teacher-and-learn
- 教与学优化算法，和结合粒子群算法、遗传算法比较，该算法效果更好，迭代次数少-Teaching and learning optimization algorithm, and combining particle swarm optimization, genetic algorithm, the algorithm is better, fewer iterations
monituohuo_kmeans
- 利用模拟退火算法改进的kmeans算法，可以实现分类也可以用来分割，matlab版本-Improved simulated annealing algorithm kmeans algorithm can also be used to classify segmentation, matlab version
MOD
- MOD算法是经典的字典学习算法，他能适应各种信号如图像、声音、机床振动等的稀疏表示-MOD algorithm is the classic dictionary learning algorithm, he can adapt to a variety of signals, such as sparse image, sound, vibration or the like, said machine tool
PSO_breed
- 基于杂交的混合粒子群算法，只需添加适应度函数即可使用-Hybridization-based hybrid particle swarm optimization, simply add the fitness function can be used
SNN
- 将ANN人工神经网络转换为SNN脉冲神经网络-The ANN artificial neural network is converted to SNN pulse neural network
HH_model_rate
- 生物神经元的HH模型，可以模仿实际的神经元-HH models of biological neurons, can mimic the real neurons
Linear-Identification
- Linear Identification 利用Matlab的S（shiplinearS）函数编写船舶运动的微分方程-Linear Identification
ANN-master
- 使用BP算法实现了一个隐层的人工神经网络（ANN），是学习BP算法的一个很好的参考-implement an Artificial Neural Network(ANN) with one hide layer,using bp algorithm,a good reference to the study of bp algorithm
Vb-FFT
- 自己编的Vb实现FFT，很方便-1-VB realize FFT algorithm. In VB in a simple call, a very convenient。。。。。。
covcalculator
- 局部Log.Euclidean协方差矩阵描述子 L2ECM SPD矩阵的空间并不是一个向量空间,而是一个黎曼流形。因此,传统 欧氏空间内的运算 例如欧氏距离、均值-Local Log-Euclidean Covariance Matrix (L2ECM) Local Log-Euclidean Covariance Matrix (L2ECM) to represent neighboring image properties by capturing cor- relation of vari
Text-clustering
- 机器学习中文本聚类算法，里面有5个文件，包含Python实现代码和测试数据。-The clustering algorithm machine learning Chinese, there are five files that contain Python implementation code and test data.
TSP
- 基于连续HP网络的TSP问题。根据Hopfield神经网络相关知识，得到旅行商最短路径。本例程解决的是一个城市数量为10的TSP问题，城市位置在图上用坐标表示。-TSP problem based on continuous HP network.