decisor_correlacao_generalizado

学好数字图像处理，学好matlab，学好vc++,怎么能少了位图转灰度图像c++源码。(you will succeed.)

MATLAB code to use MATLAB code with Arduino

粒子群算法的寻优算法，非线性函数极值寻优，MATLAB的经典算法(Particle swarm optimization algorithm, nonlinear function optimization extreme, MATLAB classical algorithm)

基于matalab的逆变电路的仿真，希望对大家有所参考，大家交流(Based on matalab inverter circuit simulation, we want to reference, to share)

用平均值法对图片序列经行背景建模，并保存。(Method of image sequences with the average background modeling by the line and save. （Attached picture) )

this is an MDL method for system order estimation

上海交通大学最优化练习题1，复习考试必备习题(Shanghai Jiaotong University, 1 optimization exercises, review exercises necessary tests)

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.)

In this Simulink model, a second order sliding mode controller is developed for a nonlinear system.

在未来B3G/4G系统中所采用的SCME信道模型是SCM信道模型的扩展。扩展保持简便性和向后兼容性(In the future B3G/4 g system adopted by the SCME channel model is an extension of the SCM channel model. Extension keep ease and backward compatibility)