schedule2009_1

matlab的一个PID优化算法程序(Matlab a PID algorithm optimization procedures)

内附收集的几种ldpc代码（编码解码皆有），另有论文及书籍（pdf格式）(Containing a collection of several ldpc code (codec Jieyou), while papers and books (pdf format))

用BP网络完成函数的逼近 P网络通常有一个或多个隐层，隐层中的神经元均采用sigmoid型变换函数，输出层的神经元采用纯线性变换函数。本例应用一个两层BP网络来完成函数逼近的任务，其中隐层的神经元个数是5。(network to be completed by BP function approximation P networks usually have one or more hidden layer, a hidden layer neurons are used sigmoid-type transformation function, the output layer neurons using pure linear transformation function. The application of a two-tier cases BP network function approximation to complete the task, hidden layer neuron number is 5.)

说明：  采用分段脉冲点匹配解pocklington方程，绘制广播76米天线电流分布图(Matching solution using sub-pulse point pocklington equation, rendering radio antenna current distribution 76 meters)

用于分析线列阵宽带，可以修改参数，自己编写，仅供参考(For the analysis of line array broadband, you can modify the parameters, write your own, for reference only)

三位梁单元的坐标转换，从单元的局部坐标转换为结构整体坐标(Three coordinate conversion beam element)

用自适应陷波器对引入单频干扰的正弦信号进行恢复，Matlab仿真程序(Used to was the single frequency interference with the introduction of the signal, matlab emulator )

Simulated annealing using the Metropolis criterion for TSP

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)

filter design for matlab simulink