基于果蝇算法的Boltzmann机谐波检测  

The Boltzmann machine harmonic detection based on fruit flies algorithm

作　　者：周爱国 余汉华[1,2] 何怡刚[2] 

机构地区：[1]中国国能电力工程有限公司,上海200061 [2]湖南大学,湖南长沙410082

出　　处：《微型机与应用》2012年第18期66-68,共3页Microcomputer & Its Applications

摘　　要：基于传统网络的全局搜索易陷入局部极优及滤波器的静态滤波性能,通过果蝇算法搜寻Boltzmann机结构,不仅在优化网络结构的同时提高了搜寻精度,还提高了滤波效率。通过对燃机发电机机端谐波检测,验证了这种新方法对电力有源滤波器及谐波抑制有很大的改善作用。Based on the global search of traditional network easy to fall into the local excellent, and wave filter has the static filter performance, through the fruit flies algorithm search Boltzmann machine structure, not only optimize the network structure, improve the search precision, but also improves the filter efficiency. Through the harmonic detection to the gas turbine power generation, the article shows that the new method have great improvement for active power filter and harmonic control.

关 键 词：果蝇算法 BOLTZMANN机 发电机机端电流 谐波检测 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]