daixinanxindaojianmo

matlab code min-max MLE

matlab的libsvm工具箱，内附详细教程。只要复制到toolbox工具箱下，就可以使用。(The libsvm matlab toolbox, containing detailed tutorial. Just copy the toolbox toolbox under, it can be used.)

统讲述MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。 第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、 构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类） 则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数 和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同 软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章 深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。(The the integration work platform on the system tells MATLAB6.5 the guide readers to the beginning of MATLAB basic usage. The second and third chapters system described the MATLAB6.1 four basic data types (numeric array, string array, cell array, the array architecture), as extended data types (function handle symbol data, inline functions, unit array , the sparse class) are covered in separate chapters specifically mentioned. Since then, with nine separate chapter book are as MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation, different software platform to interact The data graphics API, M-book text environment integration Eight generic function. Book special chapter layman' s language to clarify SIMULINK hierarchical modeling, simulation capabilities, and MATLAB interaction.)

控制系统的分析包括系统的稳定性分析、时域分析、频域分析及根轨迹分析。 该资料是应用MATLAB控制系统工具箱和SIMULINK辅助环境，对控制系统进行分析。(Stability analysis of control systems include systems analysis, time domain analysis, frequency domain analysis and root locus analysis. The data is the application of MATLAB Control System Toolbox and SIMULINK assisted environment, control system analysis.)

RBF function for neural network

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.)

darkeden 6.67 ver exe file!!

一个关于惯性导航解算的程序源代码，本人的研究结果，希望大家互相学习，共同进步。(On inertial navigation solver program source code, the results of my research, I hope we learn from each other and seek common progress.)

The Code provide comparison of Bit error rate for BPSK for Rayleigh fading in Matlab

介绍雷达资料在雷电临近预报及预警方面的文件。是国内最新的研究成果总结。(Introduction of radar data lightning nowcasting and warning file. Summarizes the latest research.)