基于遗传神经网络的GPS高程转换方法  

Conversion of Height by Genetic Neural Network Method

作　　者：吴良才[1] 危志明[1] 

机构地区：[1]东华理工大学地球科学与测绘工程学院,江西抚州344000

出　　处：《桂林工学院学报》2010年第1期99-102,共4页Journal of Guilin University of Technology

基　　金：地球动力学国家重点实验室开放基金项目(LED0506)

摘　　要：将遗传算法和神经网络智能技术相结合,利用神经网络作为模型,以遗传算法作为权值进化算法进行GPS高程转换,提出了该算法的基本思想和算法实现过程,并通过实例进行计算,结果表明该算法用于GPS高程转换具有较好的精度。Genetic algorithm is a kind of evolution developing from the idea of biological options and natural genetic free-searching algorithm.The main characteristics are information exchanges between group searching strategy and individual one,which cannot be relied on gradient information.With the combination of the genetic algorithm and neural network,the paper studies the conversion of GPS height based on genetic neural network and updated algorithm with genetic algorithm as the weight,and introduces the basic idea of the algorithm and its realization of algorithm process.It is useful to adopt the conversion of GPS Height in height precision.

关 键 词：GPS大地高 遗传算法 神经网络 GPS高程转换 

分 类 号：P228.4[天文地球—大地测量学与测量工程]