资源列表
jumpgarchfun
- 跳跃扩散模型结合条件异方差自回归模型的参数估计-Jump diffusion model combined with conditional heteroskedasticity self-parametric regression models estimate
运动目标检测与跟踪c++.rar
- VC编程实现运动目标检测与跟踪。包括了视频读取，运动目标识别检测，以及实施跟踪等。
cluster
- 聚类算法，包括特征提取 归一化，还有线性和非线性分类器，matlab下调试成功案例-clustering classification algorithm ，it include linear and nonlinear classifier and data preprocessing
kernel
- 核函数的实现，核分析 和核主成份分析，核Fisher判别 的matlab实现-Nuclear function, nuclear analysis and kernel principal component analysis, kernel Fisher matlab implementation
roughset
- 粗糙集理论及其应用，粗糙集聚类算法及matlab应用-Rough set theory and its applications, and rough clustering algorithm matlab application
RFS-SLAM-master
- 基于随机有限集的SLAM算法源代码，对于研究同步定位与地图构建算法有一定的参考价值-Based on stochastic finite set of SLAM algorithm source code, for the study of simultaneous localization and mapping algorithm has a certain reference value
BPQPSOBP
- 主要针对级联式变频器故障特征比较难提取，运用小波分析提取故障特征，然后用粒子群优化神经网络进行故障诊断-Mainly for the cascading inverter and difficult to extract the fault features, using wavelet analysis to extract the fault feature, and then use particle swarm optimization neural network for fault
liziqunyouhu
- 基于粒子群优化的微电网优化运行，IEEE经典微电网结构-Based on Particle Swarm Optimization microgrid optimization run, IEEE classic micro-grid structure
CLSPSO
- 混沌的粒子群算法，已经封装成了一个函数，可以直接调用-Chaos particle swarm optimization (pso) algorithm, is encapsulated into a function that can be called directly
Cluster_K-means
- k中心算法的基本过程是:首先为每个簇随意选择一个代表对象，剩余的对象根据其与每个代表对象的距离（此处距离不一定是欧氏距离，也可能是曼哈顿距离）分配给最近的代表对象所代表的簇；然后反复用非代表对象来代替代表对象，以优化聚类质量。聚类质量用一个代价函数来表示。当一个中心点被某个非中心点替代时，除了未被替换的中心点外，其余各点被重新分配。-The basic process k center algorithm is: First free to choose a delegate object fo
DBN-python
- 深度信念网络工具箱，用python写的，包含了受限波尔兹曼机的程序-deep belief network toolbox, including Restricted Boltzmann Machines, python edition
BP
- BP神经网络对股票次日开盘价的预测 数据的选取及放置 -Stock Prediction Neural Networks