计算机技术与发展Issue(6)：192-195,199,5.DOI:10.3969/j.issn.1673-629X.2014.06.047
遗传算法的RBF神经网络在线损计算中的应用
Application of RBF Neural Network of Genetic Algorithm in Calculation of Line Losses
摘要
Abstract
Lineloss rate is an important index reflecting the power network planning and design,producting operation and management. How to effectively reduce the power loss and improve the economic profit of enterprises have became an urgent problem. Present a RBF neural network based on genetic algorithm for line loss calculation and in view of the defects of RBF neural network hidden layer and out-put layer are independent of each other and the output is likely to fall into local minimum,apply genetic algorithm to optimize the whole network,in addition to the genetic algorithm for the corresponding improvements. In order to verify the feasibility of the algorithm,select 67 line in a certain area of Daqing oil field as samples for simulation and experimental results indicate that the the RBF neural network op-timized by genetic algorithm in the calculation precision and speed of train has increased greatly.关键词
RBF神经网络/遗传算法/电网线损计算Key words
RBF neural network/genetic algorithm/line loss calculation分类
信息技术与安全科学引用本文复制引用
张方舟,郝庆辉,周勃,刘庆,韩东洋..遗传算法的RBF神经网络在线损计算中的应用[J].计算机技术与发展,2014,(6):192-195,199,5.基金项目
国家电网公司科技项目(SG11012) （SG11012）
黑龙江省科技计划项目(GZD9A120) （GZD9A120）
黑龙江省教育科研项目(115510106) （115510106）
