GPS Height Conversion Based on Genetic Neural Network

Developed from biological options and natural genetic free-searching algorithm, the main characteristics of genetic algorithm are group searching strategy and exchange of information among individuals in one group, which isn´t relied on gradient information. With the combination of the genetic algorithm and neural network, the paper studies the conversion of GPS Height based on the genetic neural network model and updated algorithm by taking genetic algorithm as the weigh. The paper also discusses the basic idea of algorithm and realization of algorithm process. With some cases, it proves that applying genetic algorithm in the conversion of GPS Height has high precision and turns out to be practical.