资源列表
Non_manuver_4targets_PHD
- 本文是实现PHD滤波的程序代码，内带有该文章。用于仿真多目标杂波环境下对目标的跟踪与估计-This is the realization of PHD filtering program code with the article within. Clutter Simulation multi-target environment for target tracking and estimation for
15bus-ELD
- 电力系统15机经济负荷分配；降维；遗传算法-power system 15 bus economic load dispatch genetic algorithm
DP
- 动态规划方法解决单个水库运行调度问题，求解最优控制目标。-Dynamic programming method to solve a single reservoir operation scheduling problem, solving the optimal control target.
self-taught-learning
- 自主学习把稀疏自编码器和分类器实现结合。先通过稀疏自编码对无标签的5-9的手写体进行训练得到最优参数，然后通过前向传播，得到训练集和测试集的特征，通过0-4有标签训练集训练出softmax模型，然后输入测试集到分类模型实现分类。-Independent Learning the encoder and the sparse classifiers achieve the combination. First through sparse coding since no label was ha
Collaborative-fuzzy-clustering
- 协同模糊聚类算法,这是聚类算法的一种。国内研究的人不多。-Collaborative fuzzy clustering,
Wnn
- 小波神经网络程序，用于图像处理，可以和一些算法结合，达到更好的效果-Wavelet neural network program, for image processing, and some algorithms can be combined to achieve better results
Linear-Regression
- 本算法通过简单的例子实现演示了线性回归的实现原理和流程。-The algorithm is realized by a simple example illustrates the linear regression principle and processes.
Robot-genetic-algorithm-
- 机器人遗传算法静态摩擦参数辨识及摩擦力矩估计-Robot genetic algorithm identification
Mechanical-disturbance-observer-
- 机器人机械手非线性干扰观测器及其在控制中的应用-Robot mechanical disturbance observer application
yichuan
- 遗传算法，包括其交叉变异选择过程，用于求解函数的极值问题。-Genetic algorithms, including its crossover and mutation selection process for problem solving extremal function.
Code
- building Machine Learing Systems with Python 源代码 。 中文名是：机器学习系统设计； 作者：Willi Richert Luis Pedro Coelho 刘峰。-building Machine Learing Systems with Python source code
clustering-master
- 稀疏子空间聚类的算法程序实现，用Matlab实现的SSC算法。-Sparse subspace clustering algorithm procedures to achieve, SSC algorithm implemented with Matlab.