matlab-code

rgb颜色模板的肤色提取方法，对于人脸定位有着一定的帮助(rgb color color template extraction method for face detection with some help)

MATLAB实现ELM算法，并附带UCI经典数据。(MATLAB realization ELM algorithm, along with the classic UCI data.)

模式识别与智能计算matlab实现的源代码 主要有聚类分析 手写数字分类的实现(pattern Recognition And intelligence computing)

Create a noiselet matrix

说明：  奇异值分解算法SVD,其中包含几个构造的地震信号，分别去噪对比结果(ingular Value Decomposition (SVD) algorithm, which contains several structural seismic signals, denoising and contrast results respectively)

风机光伏建模，能够很好的仿真风机或者光伏的随机出力的特性，应用simulink仿真(Fans photovoltaic modeling, simulation can be a good random fan or photovoltaic output characteristics, application simulink simulation)

基于核函数的典型相关分析（KCCA）的实现，较为简单(the code of KCCA )

Generate maximal length and gold sequence and proves its autocorrelation and cross correlation properties.

说明：  运用连续潮流发求解静态电压稳定指标负荷裕度(Made use of a continuous trend of the load of solving the static voltage stability margin index)

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.)