sabrmc

pso算法，这个算法对初学者比较适合~~(pso For beginners are better adapted )

matlab车牌识别程序(带有详细的注释)(matlab license plate recognition program (with detailed comments))

通过在语音信号中嵌入鲁棒性水印和脆弱性水印，实现对数据的版权保护。(Embedded in the speech signal through robust watermarking and fragile watermarking, copyright protection to achieve the data.)

Business Economics & Finance with Matlab GIS and Simulation Models

孙志忠书：偏微分方程数值解，第三章第二节，抛物方程的向后欧拉格式(backward euler difference scheme for parabolic problem)

基于动态规划的机载脉冲多普勒雷达算法，动态规划的源程序(Based on dynamic programming airborne pulse Doppler radar algorithms, dynamic programming source code)

直线阵进场聚焦波束形成算法，三维作图，伪彩图作图(Linear array approach focused beamforming algorithm, three-dimensional mapping, pseudo-color mapping)

vào đ ay mà loafd matlab code

need source code for matlab

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)