基于GADS工具箱的GPS高程拟合方法

Conversion Method of GPS Height Based on GADS Toolbox

针对GPS高程拟合问题,把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设计思想和算法实现过程,并通过MATLAB7.x中GADS工具箱实现模型计算。结合实例进行计算,结果表明该算法用于GPS高程转换具有较高的精度,用于拟合GPS高程是可行和有效的,具有一定的应用参考价值。

Aiming at the problem of GPS height fitting, 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 taking genetic algorithm as weight. The paper also discusses the basic idea of the algorithm and its realization of algorithm process, through the GADS toolbox of MATLABT. x to achieve model. With some cases, it turned out to be useful to adopt the conversion of GPS Height in higher precision. The result shows that this algorithm is feasible and effective. It has certain application value.