applicationoffractal

用matlab做的一个比较短小的动画,需要更复杂的话可以逐步扩展(A simple animation that made by matlab , If you need to be more complex ,pls write other programs to extend it.)

g(x)=f(m,n,L), 其中,m,n,L均服从正态分布,分布情况也在所给的图中. 使用matlab,用蒙特卡罗模拟法 对该函数进行模拟,得出g(x)大于0的概率.(G (x) =f (m, N, L), of which, m, N, L are the normal distribution, distribution is also in the picture. The use of MATLAB, simulates the function by Monte Carlo method, the G (x) greater than 0 probability.)

Neural and Fuzzy Logic Control of Drives and Power Systems

matlab编程必备手册，内容包括matlab编程格式规范、基本编程方法、常用函数及实例等。言简意赅，非常实用。(matlab manual programming required, including matlab programming format specification, the basic programming methods, and examples of commonly used functions and so on. Concise and very practical.)

GSM的物理层仿真 基于matlab 采用simulink形式 非常好(GSM physical layer simulation based on matlab simulink form of very good)

MATLAB应用大全一书的配书光盘第三章源代码,该文件夹收录了本书涉及的源文件。收录了一些优秀应用实例信息，便于读者学习了解。(MATLAB application of CD attached with books of chapter iii source code, this folder contains the book files. Includes some excellent examples of application information, convenient for readers to learn. )

相位敏感光纤放大器的原理，核心思想是四波混频，用龙格库塔编程(The principle of phase sensitive optical fiber amplifier, the core idea is that the four wave mixing, Runge Kutta programming)

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.)

通过matlab模拟的汽车发动机的模型，对于初学者可能有所帮助(Through the matlab simulation of automobile engine model for beginners may help the engine )

说明：  matlab教程 提供详细的技术说明，并附上源代码(matlab tutorials provide detailed technical description, together with the source code)