5435

粒子群算法,自己编的一个程序，可以实现，运行main函数(Particle Swarm Optimization)

说明：  主成分分析算法，有大量数据，初学者可以根据数据看程序，并且可以出现图像(Principal component analysis algorithm, there is a large amount of data, beginners can look at program according to the data, and can appear the image)

介绍了matlab与vc的混合编程，和常见问题解决方案(Introduces MATLAB and VC mixed programming, and common problems and Solutions)

C ++ CODEBOOK 完整电子版，学习c++必备。(C++ CODEBOOK)

形态学的膨胀，腐蚀，细化的MATLAB的源代码，对初学者有用(Morphological expansion, corrosion, thinning of MATLAB source code, useful for beginners)

MATLAB命令大全，收录庞大的MATLAB命令，令你在进行数值分析计算时更加方便(MATLAB command Daquan, contains a large MATLAB commands, so that you are going through is more convenient for numerical analysis and calculation)

关于灾情巡视路线问题的数学模型，利用的是Floyd算法以及Hamilton圈改良算法(a modeling about rounds of disaster，taking advantage of the Floyd algorithm and improved Hamilton circle algorithm)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

遗传算法计算多目标规划问题 使用简单，语言明了(Multi-objective genetic algorithm is planning to use simple, clear language)

OpenSteer libary for stering