cs

EKF, IEKF, and UKF算法在matlab中的实现(EKF, IEKF, and UKF method implementation)

matlab 解方程组，超定方程组，微分方程组，偏微分(matlab solutions of equations, overdetermined equations, differential equations, partial differential)

Least Mean Square ALgorithm

用matlab编写的Gabor滤波器，得虚部和实部(Matlab prepared by the Gabor filter, imaginary part and real part)

解线性代数方程组方程组的迭代算法，用于解线性方程组(Solution of linear algebraic equations Iterative algorithm for solving linear equations)

说明：  在MATLAB环境下的3780点FFT仿真(The Simulation of 3780 point FFT in MATLAB environment.)

计算光子晶体的能带投影图，为波导模的确定以及光子晶体薄板提供基础(calculated photonic crystals with projection to determine the mode waveguides and photonic crystal to provide the basic sheet)

针对粒子群优化算法应用于约束优化问题时易陷入局部极小值的问题, 提出了一种改进的粒子群优化算 法. 该算法综合了约束优化问题的目标函数值和约束函数的违反度值作为粒子群优化算法的双适应度值, 采用了 双适应值动态判断粒子群优化算法中粒子的优劣. 违反度值的计算引入了自适应加权系数, 相应地提出了调整各 权系数的自适应策略, 并改进了粒子群优化算法的粒子竞争选择策略, 拓展了粒子群优化算法的单适应值的应用 范围.应用约束自适应粒子群优化算法实现了城市水厂的节能优化调度. 结果表明, 该算法收敛速度快且结果可 靠. 粒子群优化算法为解决工程约束优化问题提供了一条可行途径(Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza
tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza
tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems withPSOwasprovided.)

ISDA 软件的matlab开发版本。用以处理半监督学习的分类问题。(ISDA is an efficient software for solving large-scale machine learning problems by using so-called kernel machines a.k.a support vector machines.)

RADIAL DISTRIBUTION LOAD FLOW MATLAB CODE