F-KPLS

LMS算法程序，已经仿真过了，挺好的，适合给大家编程时候参考(LMS algorithm program has been a simulation, very good, suitable for everyone to reference when programming)

matlab进行偏最小二乘的四种分组方法(Four grouping method of partial least squares matlab)

matlab例程 bp神经网络训练算法(BP neural network training algorithm)

说明：  MATLAB6.0数学手册，可以帮助大家学习MATLAB6.0中有关数学计算方面的知识。(MATLAB6.0 mathematics manuals that can help them to learn MATLAB6.0 mathematical calculations related to knowledge.)

基于MATLAB非线性确定性系统的分岔与混沌设计程序编程(MATLAB-based non-linear deterministic system of bifurcation and chaos Design Programming)

这是一份VC++与MATLAB混合编程的重要资料.详细描述了VC++在与MATLAB混合编程时的接口问题，以及连接问题。(This is a mixed VC++ and MATLAB programming important information. A detailed description of the VC++ mixed programming with MATLAB interface issues, and connectivity problems.)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)

this program describes the undscnded kalmaman filter using interacting multiple model

用于灰色模型的应用，适用于解决简单数学建模的问题。(For the application of grey model, applicable to solve a simple problem of mathematical modeling.)

惯性导航的工具箱，对IMU的导航计算利用Matlab进行了全面的仿真，非常适合IMU导航算法、组合导航算法的研究(Inertial navigation toolbox IMU navigation calculation using Matlab comprehensive simulation, very suitable for the IMU navigation algorithm, integrated navigation algorithm)