lyapunov

西蒙赫金——《自适应滤波器原理》第四章-4( Chapter IV of adaptive filtering-4)

Integrated Software Development Guide软件开发技术综合教程(Integrated Software Development Guide Software Development Integrated Course)

matlab書籍的簡介 張智星 適合剛入門程式語言的人(Zhang Zhi brief introduction matlab book stars)

this code simulates phase array antena in matlab

悬臂梁MATLAB有限元算例带详细注释的这个算是半原创吧。师哥写的(MATLAB finite element cantilever beam with a detailed example of this note it is semi-original. Writing the师哥)

matlab programs for the lab experiments

实数编码和二进制编码的遗传算法程序，程序结构清晰，易懂，是学习遗传算法很好的例子。(Real number coding and binary coded genetic algorithm program, the program structure is clear, and easy to understand, is to study the genetic algorithm is a good example.)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

利用adapt函数对自适应滤波网络对时变正弦信号进行自适应预测。(Adapt the use of adaptive filtering function network for time-varying sinusoidal signal adaptive prediction.)

this is for Korean and kind of signal processing.