CurveLab-2.0.2.tar

a interface file source code for gene optimzed bp neural network

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab

Simulink Coder™ (formerly Real-Time Workshop® ) generates and executes C and C++ code from Simulink® diagrams, Stateflow® charts, and MATLAB® functions. The generated source code can be used for real-time and nonreal-time applications, including simulation acceleration, rapid prototyping, and hardware-in-the-loop testing. You can tune and monitor the generated code using Simulink or run and interact with the code outside MATLAB and Simulink.

Stick filter implementation in MATLAB. Stick filter is used to remove speckle noise in images.

说明：  通过利用Weichselberger模型而产生瑞利衰落信道(rayleigh)

说明：  matlab pid算法的详细算法 还不错(matlab pid algorithm detailed algorithm is also good)

题目：已知被控对象为 1/(10s+1)*exp(-0.5s)。假设系统给定为阶跃值r＝30，采样时间为0.5s，系统的初始值r(0)＝0。试分别设计： (1)常规的PID控制器； (2)常规的模糊控制器； 分别对上述2种控制器进行Matlab仿真，并比较控制效果 (Topic: Known charged object is 1/(10s+1)* exp (-0.5s). Assume that the system is given as the step value r = 30, the sampling time of 0.5s, the system the initial values ​ ​ of R (0) = 0. Trial were designed: (1) conventional PID controller (2) conventional fuzzy controller Matlab simulation of the two kinds of controllers, respectively, and compare the control effect)

光纤激光器仿真，包括端泵与侧面多点泵浦,适用于如镱离子等四能级系统,内含5个程序(simulation for fiber laser,including end pumping and multi-dot pumping)

matlab code for back code

一种遗传算法和萤火虫算法相结合的新型元启发式算法，经过测试，算法具有良好的性能。(Capacitated facility location problem (CFLP) is a well-known combinatorial optimization problem with applications in distribution and production planning that is classified as an NP-Hard problem. The aim is to determine where to locate facilities and how to move commodities such that the customers’ demands are satisfied and the total cost minimized. In this paper, a new hybrid optimization method called Hybrid Evolutionary Firefly-Genetic Algorithm is proposed, which is inspired by social behavior of fireflies and the phenomenon of bioluminescent communication. The method combines the discrete Firefly Algorithm (FA) with the standard Genetic Algorithm (GA). It is devoted to the detailed description of the problem, and an adaption of the algorithm. Computational results on random generated problems consisting of 2000 locations and 2000 customers are reported. )