资源列表
DPSO
- A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreve
myhilb
- 自动生成Hilbert矩阵，非常快捷便利(Automatic generation of Hilbert matrix)
m
- 用lms和rcs算法实现均衡器 总共分为1步和20步(Implementation of equalizer with LMS algorithm)
卡尔曼滤波原理及应用-MATLAB仿真（程序）
- 卡尔曼滤波 原理及其源代码 主要用于控制 滤波(UKF control and how it works)
kalman2.m
- 卡尔曼滤波算法的实现，对自己产生的数据进行拟合(The implementation of Kalman filter algorithm to fit the data produced by himself)
cs-svm
- pso优化SVM分类，直接调用win32的SVM(PSO optimizes the SVM classification and calls directly the SVM of Win32)
rls
- 本函数为迭代最小二乘算法，用于拟合曲线，已经通过验证(This function is an iterative least square algorithm, which is used to fit the curve, and has been verified.)
仿真神经网络层次分析
- 有关神经网络，随机森林，支持向量机的一些例子还有资料(Some examples of neural networks, random forests, support vector machines and information)
cuedsid
- 系统辨识工具箱，找了很久，亲测可用。matlab没装工具箱的可以下载(system identification toolbox)
buildingmachinelearningprojectswithtensorFlow
- 这本书包含了多个不同类型的工程，来说明TensorFlow在不同场景中的应用，这本书的工程包括了训练模型、机器学习、深度学习以及多种神经网络，每个工程都是一个精妙的、有意义的项目，会教我们如何使用TensorFlow并在使用中如何对数据分层。(This book contains a number of different types of engineering, to illustrate the application of TensorFlow in different scenario
package_emd
- emd工具箱， 需要做emd分解的可以下载使用(EMD toolbox, which needs to be downloaded and used by EMD decomposition)
SVM_Demo
- 人工智能神经网络深度学习算法；SVM神经网络算法，用软件可靠性的失效数据预测分析；(SVMNu not including two adjacent 1 non-empty string} and prove your conclusion. Four: (20 points) A single accumulator computer and the assembly language contains the usual assembly instructions LOAD, STORE,