exp9_p291

自适应波束形成对角加载，能够增强处理的稳定性(adaptive beamforming with diagonal load，which is more robust )

无线通信扩频技术仿真程序，开发环境是matlab(Spread spectrum wireless communication simulation program, the development environment is matlab)

MATLAB PID控制程序包，里面有较强的功能实现。(MATLAB PID control package, which has strong functions.)

模式分类的matlab程序，十二五规划模式识别导论教材答案( Pattern classification matlab procedures, Twelfth Five Year Plan Introduction textbook answer pattern recognition)

Three phase distribution system line parameters measurements

The routine potsband calculates a bandpass filter corresponding to the standard telephone passband(potsband calculates a bandpas 's filter corresponding to the standard telepho ne passband)

求一维抛物线方程的全隐/显式格式离散方法的解法。matlab(Seeking a full-dimensional parabolic equation implicit/explicit solution form discrete methods. matlab)

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.)

说明：  有限元六面体单元MATLAB代码，有限元，FEM，六面体单元，等参元(Finite element hexahedral element MATLAB code)

这个是一个旅行商的问题，在多个路段中选择合适的路径是解决问题的关键，这个算法就解决了这个问题(This is a traveling salesman problem, in many sections to choose the right path is the key to solve the problem, this algorithm has solved this problem)