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matlab在化学工程中的应用实例程序,对大家研究学习有指导作用。(practice of matlab in chemistry and chemistry engnierr)

说明：  RD成像雷达干扰，基于MATLAB的成像算法，有关雷达干扰欺骗模型，sar成像，多普勒雷达(Rd imaging radar jamming, imaging algorithm based on MATLAB, radar jamming deception model, SAR imaging, Doppler radar)

Apply a function intended for one-dimensional usage independently to the three dimensionsof a 3-D array.

干扰信号的灰色估计仿真程序及分析，属于灰色估计理论基础(Gray estimated interference signal simulation program and the analysis, estimation theory is the basis of gray)

说明：  管道运输问题 能够实现优化 从而帮助我们找到最短路径(Pipeline transportation problem can be optimized in order to help us find the shortest path)

专业论文，非规则数据场体绘制技术的研究，对如何利用IDL做有限元分析有一定帮助(Professional papers, irregular data volume rendering techniques, but on how to use IDL to do finite element analysis has some help)

互信息盲源分离，这基于这么一个事实，混合信号的互信息最小时，意味着信号独立。可以参考有关书籍。在google里面，搜索mutual information blind source separation.即可搜到文章。(mutual information Blind Source Separation, such a fact-based, mixed-signal information in the most hours of each other, mean signal independence. Can reference to the books. Google the inside, Search mutual information blind source separation . that article can be found.)

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.)

some simulink mas + onduleur (some simulink mas+ onduleur )

说明：  Matlab的Aerospace Blockset模块的介绍和应用，是mathwork公司提供的文档。(Aerospace Blockset of Matlab introduction and application module is provided mathwork documents.)