dfafasfaleach

matlab程序 输入txt文档即可计算混沌时间序列的李雅普诺夫指数(Lyapunov matlab)

经典时频分布算法。基于MP算法对信号进行时频分布。(Classical time-frequency distribution method. MP algorithm based on time-frequency distribution of the signal.)

罚函数法,和matlab源代码,另加类似方法供参考,(Penalty function method, and the matlab source code, plus a similar method for reference,)

提高风力机将风能转化为机械能的效率，根据我国西北地区的风频风能曲线，用最优设计攻角沿叶片轴线的非线性分布修正传统Wilson算法，优化设计大型水平轴风力机叶片的气动性 能．该优化设计利用Madab优化工具箱，优化速度干涉因子的迭代计算，提高计算效率；考虑多翼型和变攻角等因素对叶片外形优化的影响，从结构及加工工艺角度修正翼型．通过对1．2MW风力发电机组叶片外形的气动性能计算和优化设计，结果表明该优化设计的有效性和可行性，可为风力机叶片外形设计提供参考．(Improve wind turbine wind energy into mechanical energy efficiency, according to the Northwest China wind frequency wind power curve, optimum design angle of attack along the blade axis of traditional non-linear distribution correction Wilson algorithm to optimize the design of the aerodynamic performance of the large-scale horizontal axis wind turbine blades . The Optimal Design Optimization Toolbox Madab optimized for speed interference factor iterative calculation to improve computational efficiency consider multi-airfoil and change the angle of attack and other factors on the blade shape optimization, airfoil from the structure and processing angle correction. By 1.2MW wind turbine blade shape aerodynamic performance calculation and optimization design, the results show that the effectiveness and feasibility of the optimized design can provide a reference for the wind turbine blade shape design.)

说明：  是基于超扭曲算法的直接转矩控制 基于论文Super-Twisting Sliding Mode Control of Torque and Flux in Permanent Magnet Synchronous Machine Drives(Direct Torque Control Based on Hyper-distortion Algorithms Super-Twisting Sliding Mode Control of Torque and Flux in Permanent Magnet Synchronous Machine Drives)

一维非稳态换热方程的有限差分解法，固体温度固定，在前面没有热源，尾部有热源(Finite difference method for the one-dimensional unsteady heat transfer equations, solid temperature is fixed, there is no heat in the front, rear heat source)

kernelized fuzzy rough set based feature evaluation selection

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

channel estimation with stbc using matlab for communication students

该算法，解决了不收敛的问题，聚类效果非常好。改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，产生变异，从而更快的收敛。(The algorithm solves the problem of convergence, and the clustering effect is very good. The improved ant colony algorithm is based on the improvement of genetic algorithm. On the basis of the basic genetic algorithm, the variance factor is added to produce the variation, and the convergence is faster.)