bpnnet_154

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

A classification function

POWER QUALITY IMPROVEMENT IN GRID CONNECTED WINDENERGY SYSTEM USING STATCOM

matlab应用实例仿真开发手册(failed to translate)

数字吉他效果器仿真之flanger（镶边音效）(FLANGER simulates a guitar flanger effect pedal)

说明：  energy management in smart grid

代码为对OFDM符号信道估计结果进行线性插值的仿真代码(Code symbols for the OFDM channel estimation results of linear interpolation of the simulation code)

利用蚁群算法解决旅行商问题，其中运用智能蚂蚁算法(Using Ant Colony Optimization Algorithm to solve Traveling Salesman Problem)

说明：  matlab界面设计，八数码界面，搜索算法，爬山法(matlab interface design, eight digital interface, the search algorithm, hill climbing)

说明：  历次进行修改过的JADE算法，可以看出盲源分离算法的演变过程，并通过对各算法的研究看出思路(all versions of the JADE algorithm.)