PID1

this program it is first step in construct magic square in genetic algorithm it has some function and i will upload again now i finish

松弛算法：预报误差法参数辨识。刘辉，系统辨识(Untitled)

基于模拟电荷法求解导线周围空间的空间电场(Solving the electric field around the wire based on space charge simulation method)

说明：  对C一个详细的讲解里面有很多例子 可以多学习学习(a good programming book)

说明：  MATLAB语言是一种广泛应用于工程计算及数值分析领域的新型高级语言，自1984年由美国 MathWorks 公司推向市场以来，历经十多年的发展与竞争，现已成为国际公认的最优秀的工程应用开发环境。MATLAB功能强大、简单易学、编程效率高，深受广大科技工作者的欢迎(MATLAB language is a widely used engineering calculation and numerical analysis of the new high-level language, since the United States in 1984 by the MathWorks to market since the company, after ten years of development and competition, has become internationally recognized best engineering applications development environment. MATLAB powerful, easy to learn, programming efficiency, greatly welcomed by the vast numbers of scientific and technological workers)

产生随机信号并通过低通滤波器 计算其统计参数Any changes made cards can be good results(Random signal generated by low-pass filter to calculate the statistical parameters)

说明：  是matlab语言，对阶跃折射率分布均匀光纤（圆柱型光纤）模型中的光场分布进行了模拟。(Is the matlab language, a step refractive index distribution of the fiber (cylinder-type fiber) model of optical field distribution are simulated.)

Matlab不仅具有强大的数值运算功能，也同样具有非常强大的二维和三维图形绘制功能，尤其擅长于将各种科学运算结果的可视化。计算的可视化可以将不直观的数据通过图形来表示，从而发现其中的内在关系。Matlab的图形命令格式简单，可以使用不同的线形，色彩、数据点标记和标注等来修饰(Graphic Design)

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.)

进化神经网络学习实例很全很好用，初学者很实用(Evolutionary neural network learning example is the whole very good, and very useful for beginners)