li_6_7

粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是由J. Kennedy和R. C. Eberhart等开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法(Particle Swarm Optimization (PSO), also known as Particle Swarm Optimization (PSO), is a new evolutionary algorithm developed by J. Kennedy and R. C. Eberhart. PSO is a kind of evolutionary algorithm, which is similar to simulated annealing algorithm. It starts from random solution and searches for the best solution by iteration. It also evaluates the quality of solution by fitness. But it is simpler than genetic algorithm rules. It has no Crossover and Mutation operation of genetic algorithm. As a result, it searches for global optimum by following the optimal value currently searched. This algorithm has attracted the attention of academia for its advantages of easy implementation, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization is a parallel algorithm)

说明：  winhex教程,讲述数据恢复的原理和方法。(winhex tutorial about data recovery principle and method.)

混合动力汽车的动力性仿真简单MATLAB模型(Simple MATLAB model for dynamic simulation of hybrid vehicles)

非常适合新手入门的一本教材！可以更快的进入java领域！！！(A very suitable textbook for beginners! Can enter the field of Java faster!!!)

说明：  PHASE II OF THE ASCE BENCHMARK STUDY ON SHM

LDPC译码在对数似然比的译码算法，基于因子图的BP算法(Decoding algorithm of LDPC decoding in log likelihood ratio)

说明：  忆阻混沌仿真，忆阻器，混沌，关于忆阻混沌系统的matlab仿真(Memristor chaos Matlab simulation of memristor chaotic system)

使用VB对SolidWorks进行的二次开发。主要是建立了一个螺纹标准件库以及螺纹计算方法。-use of SolidWorks in the secondary development. Is a standard part of a thread and the thread is calculated.

电力系统各种故障波形仿真，单相接地故障，两相间短路，两相接地短路，三相短路等。(Simulation of various fault waveforms of power system)

电力系统最小二乘法状态估计模型 状态估计(Power System Least Squares State Estimation Model)