LMS--matlab

关于模糊逻辑工具箱的具体应用，案例有源码，有详细的操作步骤，对初学MATLAB又想急于上手的尤其有参考价值！(About fuzzy logic toolbox of specific applications, case there is source, has detailed the steps, eager for the beginner-to-use MATLAB in particular want to have reference value!)

matlab程序，一种快速ICA算法，用于混合信号盲分离，可应用于通信系统信号处理(matlab program, a fast ICA algorithm for blind separation of mixed signals, signal processing can be used in communication systems)

说明：  工程实际中的许多优化问题是多目标的优化设计问题。通常情况下多个目标是处于冲突状态的,不存在一个最优设计使所有的目标同时达到最优,一个目标性能的改善,往往以其它一个或多个目标性能的降低为代价。无论采用自适应遗传算法还是其它在标准遗传算法基础上经过改进的遗传算法,如果采用加权组合法等将多目标转化为单目标的处理方法,就无法充分发挥遗传算法的优势。如果把遗传 算法与适用于多目标处理的几此协方法相结合,就能完全发挥遗传算法在多目标优化设计中的作用。(Many optimization problems in engineering practice are multi-objective optimization design problems. Generally, multiple goals are in conflict. There is no one optimal design to achieve all goals simultaneously. The improvement of one goal's performance is often at the expense of the performance of one or more other goals. Whether adaptive genetic algorithm or other improved genetic algorithm based on standard genetic algorithm is adopted, if weighted combination method is adopted to transform multi-objective into single-objective processing method, the advantages of genetic algorithm cannot be fully utilized. If the genetic algorithm is combined with several cooperative methods suitable for multi-objective processing, the role of genetic algorithm in multi-objective optimal design can be fully exerted.)

STUDY & SIMULATION Of 1 phase – 1 phase Cycloconverter MATLAB .mdl file about the simulink model of single phase to single phase cycloconverter with R- Load.

最优化问题的快速下降法，共轭梯度法，基于matlab算法。经过测试好用(Optimization problem of the rapid descent method, conjugate gradient method, based on matlab algorithm. Tested, easy to use)

这是我在做水文预测时写的一些自回归模型代码(This is what I was doing some hydrological forecasts from the regression model to write code)

Introduction to Finite Element Analysis Using MATLAB and Abaqus ebook pdf

Track Content Provider implements I Structured Content Provider.

adaptive filter matlab codes. The folder contains LMS and LMA functions

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.