embed

对数据集breast_cancer，用LR，NB算法对其进行操作(On the data set breast_cancer, with LR, NB algorithms manipulate)

this the matlab program for the NRLF power system the dybnamic nature is been provided .... in the program and easy to understand

mfc下通用的文件，该文件是人工萤火虫算法的matlab代码实现。(mfc under common file)

现代通信系统matlab版（中文）用超星打开(Modern communications systems matlab version (Chinese) open with Chaoxing)

卡尔曼滤波的MATLAB实现，是一个教程事例(updates a system state vector estimate based upon an observation, using a discrete Kalman filter.)

说明：  这本书描述了MATLAB遗传算法的特性和直接搜索工具箱,编程原理和使用方法。这本书分为九章。第一章到第四章介绍了遗传算法的基本知识,包括遗传算法的基本原理、编码、选择、交叉、变异、适应度函数、控制参数、约束处理,模式定理,改进遗传算法早熟收敛问题及其预防等等。第五章到第七章介绍MATLAB遗传算法工具箱英格兰谢菲尔德谢菲尔德大学,和使用方法,如何编写这个函数的一个示例使用遗传算法工具箱解决实际优化问题的MATLAB程序。(The book describes the characteristics of MATLAB genetic algorithm and direct search toolbox, programming principle and method of use. The book is divided into nine chapters. The first chapter to the fourth chapter introduces the basic knowledge of the genetic algorithm, including the basic principle of genetic algorithm, coding, selection, crossover, mutation, fitness function, control parameters, constraints, processing, schema theorem, improved genetic algorithm premature convergence problem and its prevention and so on. Fifth chapter to the seventh chapter introduces MATLAB genetic algorithm toolbox Sheffield in England at the university of Sheffield, and use a method, an example of how to write this function using MATLAB genetic algorithm toolbox to solve practical optimization problem.)

最大似然（ML）准则和最大后验概率（MAP）准则，BP神经网络用于函数拟合与模式识别，多目标跟踪的粒子滤波器。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, BP neural network function fitting and pattern recognition, Multi-target tracking particle filter.)

仿真（ZF,ZF-SIC,ZF-OSIC,MMSE,MMSE-SIC,MMSE-OSIC,ML)Vblast接收机的检测性能，绘制误比特率～信噪比曲线(Simulation (ZF, ZF-SIC, ZF-OSIC, MMSE, MMSE-SIC, MMSE-OSIC, ML) detection performance Vblast receiver bit error rate ~ SNR plotted curve)

texture and remote classification by using ANN

对AR（4）模型的经典功率谱估计，并与真实功率谱作比较。采用了welch方法，协方差法，burg方法(For AR (4) model of the classic power spectrum estimation, and with true power spectrum for comparison. Welch method using covariance method, burg method)