资源列表
Bayes Net Toolbox for Matlab
- Written by Kevin Murphy, 1997--2002. Last updated: 19 October 2007. As of January 2014, this is maintained on Github at https://github.com/bayesnet/bnt
2016.10.04GSA_SVM
- 通过引力搜索算法，进行支持向量机参数优化。实现模式识别和趋势预测。(The parameters of support vector machine are optimized by gravitational search algorithm. Realize pattern recognition and trend prediction.)
微积分和微分方程
- 利用MATLAB进行微积分和微分方程的求解计算，包括：常微分方程、 符号微分方程、高斯积分法、矩形域高斯二重积分等。(MATLAB is used to solve calculus and differential equation, including ordinary differential equation, signed differential equation, gaussian integral method, gaussian double integral in recta
数据拟合
- 利用MATLAB进行数据拟合，常见的数据拟合方法。包括：一元函数插值、样条插值、多项式插值或拟合 、曲线拟合、拉格朗日插值法等。(MATLAB data fitting, common data fitting methods. It includes: interpolation of unitary function, spline interpolation, polynomial interpolation or fitting, curve fitting, Lagrange inte
JPEG2000_parallel-master
- JPEG2000 files for tests
基于GA优化的BP算法
- 通过遗传算法优化BP神经网络，提高其收敛速度和预测准确度。(BP neural network is optimized by genetic algorithm to improve its convergence speed and prediction accuracy.)
RMNMF
- 非负矩阵分解，聂飞平老师再2014年发表的Robust Manifold Nonnegative Matrix Factorization文中提出的算法(A Robust Manifold Nonnegative Matrix Factorization algorithm was proposed by teacher nie feiping in 2014)
HDB3编码仿真
- MATLAB软件对HDB3码的编码仿真，并出仿真图。
hsmm
- 隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process
高斯赛德尔迭代
- 本程序利用高斯赛德尔迭代法求线性方程组，格式为函数形式。
EOF分解
- 对北大西洋温度盐度场低频变化的时空特征进行EOF分解。
code545423
- 动作的表面肌电信号进行频谱分析和功率谱估计，计算 肌电信号的时域和频域参数，根据结果分析讨论肌肉工作状态程序源码，在matlab软件测试成功(The spectrum analysis and power spectrum estimation of the surface electromyogram signal of the action are carried out, and the time domain and frequency domain parameters of the